<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fast recognition of natural feature identifiers by a mobile phone</style></title><secondary-title><style face="normal" font="default" size="100%">Acta Cybernetica</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged, Hungary</style></pub-location><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">101-116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><section><style face="normal" font="default" size="100%">101</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">József Dombi</style></author><author><style face="normal" font="default" size="100%">Attila Kovács</style></author><author><style face="normal" font="default" size="100%">Rózsa Dégi</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Időskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével</style></title><secondary-title><style face="normal" font="default" size="100%">A XXVIII. Neumann Kollokvium konferencia-kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Neumann János Számítógép-tudományi Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">43-48.</style></pages><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improved QR Code Localization Using Boosted Cascade of Weak Classifiers</style></title><secondary-title><style face="normal" font="default" size="100%">Acta Cybernetica</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged, Hungary</style></pub-location><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">21-33</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><section><style face="normal" font="default" size="100%">21</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Zoltán Ozsvár</style></author><author><style face="normal" font="default" size="100%">Tamás Sámuel Tasi</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Measure of Directional Convexity Inspired by Binary Tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Fundamenta Informaticae</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 2015</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">141</style></volume><pages><style face="normal" font="default" size="100%">151-167</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span&gt;Inspired by binary tomography, we present a measure of directional convexity of binary images combining various properties of the configuration of 0s and 1s in the binary image. The measure can be supported by proper theory, is easy to compute, and as shown in our experiments, behaves intuitively. &lt;/span&gt;&lt;span class=&quot;below-fold&quot; data-below-fold=&quot;FI1269&quot;&gt;The measure can be useful in numerous applications of digital image processing and pattern recognition, and especially in binary tomography. We show in detail an application of this latter one, by providing a novel reconstruction algorithm for almost hv-convex binary images. We also present experimental results and mention some of the possible generalizations of the measure. &lt;/span&gt;&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2-3</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><section><style face="normal" font="default" size="100%">151</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">QR kód lokalizáció kaszkádolt gyenge osztályozók használatával</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2015</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kecskemét, Magyarország</style></pub-location><pages><style face="normal" font="default" size="100%">712-721</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jozsef Nemeth</style></author><author><style face="normal" font="default" size="100%">András Bánhalmi</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author><author><style face="normal" font="default" size="100%">Zsolt Szkiva</style></author><author><style face="normal" font="default" size="100%">Péter Franczia</style></author><author><style face="normal" font="default" size="100%">Csaba Berezki</style></author><author><style face="normal" font="default" size="100%">Vilmos Bilicki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Újszülöttek monitorozása képfolyam elemzéssel</style></title><secondary-title><style face="normal" font="default" size="100%"> A XXVIII. Neumann Kollokvium konferencia-kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Neumann János Számítógép-tudományi Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">32-37</style></pages><isbn><style face="normal" font="default" size="100%">978-615-5036-10-1</style></isbn><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">László Tóth</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vizuális kódok lokalizációja mély egyenirányított neurális háló használatával</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2015</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kecskemét, Magyarország</style></pub-location><pages><style face="normal" font="default" size="100%">546-561</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vonalkódok és természetes vizuális azonosítók felismerése valós időben</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2015</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kecskemét, Magyarország</style></pub-location><pages><style face="normal" font="default" size="100%">562-577</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automatikus azonosítás és hitelesítés vizuális kódokkal</style></title><secondary-title><style face="normal" font="default" size="100%">HIRADÁSTECHNIKA</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><volume><style face="normal" font="default" size="100%">69</style></volume><pages><style face="normal" font="default" size="100%">40-47</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal Article</style></work-type><reprint-edition><style face="normal" font="default" size="100%">hun</style></reprint-edition></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fast recognition of natural feature identifiers by a mobile phone</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science. Volume of extended abstracts</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Institute of Informatics, University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">26</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Endre Katona</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Gábor Németh</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Roland Kunkli</style></author><author><style face="normal" font="default" size="100%">Ildikó Papp</style></author><author><style face="normal" font="default" size="100%">Edéné Rutkovszky</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozás a szegedi informatikus-képzésben</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban 2014</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Debrecen</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">667-675</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Local and global uncertainty in binary tomographic reconstruction</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTER VISION AND IMAGE UNDERSTANDING</style></secondary-title><short-title><style face="normal" font="default" size="100%">COMPUT VIS IMAGE UND</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><isbn><style face="normal" font="default" size="100%">1077-3142</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In binary tomography the goal is to reconstruct the innerstructure of homogeneous objects from their projections. This is usually required from a low number of projections, which are also likely to be aﬀected by noise and measurement errors. In general, the distorted and incomplete projection data holds insuﬃcient information for the correct reconstruction of the original object. In this paper, we describe two methods for approximating the local uncertainty of the reconstructions, i.e., identifying how the information stored in the projections determine each part of the reconstructed image. These methods can measure the uncertainty of the reconstruction without any knowledge from the original object itself. Moreover, we provide a global uncertainty measure that can assess the information content of a projection set and predict the error to be expected in the reconstruction of a homogeneous object. We also give an experimental evaluation of our proposed methods, mention some of their possible applications, and describe how the uncertainty measure can be used to improve the performance of the DART reconstruction algorithm.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: S1077-3142(14)00117-9doi: 10.1016/j.cviu.2014.05.006Article in Press</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">László Tóth</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joaquim Filipe</style></author><author><style face="normal" font="default" size="100%">Oleg Gusikhin</style></author><author><style face="normal" font="default" size="100%">Kurosh Madani</style></author><author><style face="normal" font="default" size="100%">Jurek Sasiadek</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Localization of Visual Codes in the DCT Domain Using Deep Rectier Neural Networks</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Informatics in Control, Automation and Robotics (ICINCO)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SCITEPRESS</style></publisher><pub-location><style face="normal" font="default" size="100%">Setúbal</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: 6Közlésre elfogadva</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képfeldolgozás az SZTE Képfeldolgozás és Számítógépes Grafika Tanszéken</style></title><secondary-title><style face="normal" font="default" size="100%">Orvosi Informatika 2014: A XXVII. Neumann Kollokvium konferencia-kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><publisher><style face="normal" font="default" size="100%">Pannon Egyetem, Veszprém </style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged, Hungary</style></pub-location><pages><style face="normal" font="default" size="100%">119-122</style></pages><isbn><style face="normal" font="default" size="100%">978-963-396-040-0</style></isbn></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">QR Code Localization Using Boosted Cascade of Weak Classifiers</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science. Volume of Extended Abstracts</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Institute of Informatics, University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">6 - 7</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Mohamed Kamel</style></author><author><style face="normal" font="default" size="100%">Aurélio Campilho</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">QR Code Localization Using Boosted Cascade of Weak Classifiers</style></title><secondary-title><style face="normal" font="default" size="100%">Image Analysis and Recognition (ICIAR)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes In Computer Science</style></tertiary-title><alt-title><style face="normal" font="default" size="100%">LNCS</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 2014</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">8814</style></number><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Vilamura, Portugal</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Usage of computer-readable visual codes became common in oureveryday life at industrial environments and private use. The reading process of visual codes consists of two steps: localization and data decoding. Unsupervised localization is desirable at industrial setups and for visually impaired people. This paper examines localization efficiency of cascade classifiers using Haar-like features, Local Binary Patterns and Histograms of Oriented Gradients, trained for the finder patterns of QR codes and for the whole code region as well, and proposes improvements in post-processing.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: 225Accepted for publication</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Tóth</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Mboup Mamadou</style></author><author><style face="normal" font="default" size="100%">Adali Tülay</style></author><author><style face="normal" font="default" size="100%">Eric Moreau</style></author><author><style face="normal" font="default" size="100%">Jan Larsen</style></author><author><style face="normal" font="default" size="100%">Kevin Guelton</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">QR code localization using deep neural networks</style></title><secondary-title><style face="normal" font="default" size="100%">International Workshop on Machine Learning for Signal Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Sep 2014, Reims, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: 43Accepted for publication#Könyv  Kiadás helye ismeretlen
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">András Bánhalmi</style></author><author><style face="normal" font="default" size="100%">Dénes Paczolay</style></author><author><style face="normal" font="default" size="100%">Vilmos Bilicki</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Árpád Sárosi</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Linda Cappellato</style></author><author><style face="normal" font="default" size="100%">Nicola Ferro</style></author><author><style face="normal" font="default" size="100%">Martin Halvey</style></author><author><style face="normal" font="default" size="100%">Wessel Kraai</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Wlab of University of Szeged at ImageCLEF 2014 Plant Identification Task</style></title><secondary-title><style face="normal" font="default" size="100%">CLEF2014 Working Notes: Working Notes for CLEF 2014 Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">CEUR-WS</style></publisher><pub-location><style face="normal" font="default" size="100%">Sheffield, UK</style></pub-location><volume><style face="normal" font="default" size="100%">1180</style></volume><pages><style face="normal" font="default" size="100%">685-692</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Barcode detection using local analysis, mathematical morphology, and clustering</style></title><secondary-title><style face="normal" font="default" size="100%">ACTA CYBERNETICA-SZEGED</style></secondary-title><short-title><style face="normal" font="default" size="100%">ACTA CYBERN-SZEGED</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">21 - 35</style></pages><isbn><style face="normal" font="default" size="100%">0324-721X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we extend those ideas with clustering, contrast measuring, distance transformation and probabilistic Hough transformation.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">L Linsen</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Barcode detection with uniform partitioning and distance transformation</style></title><secondary-title><style face="normal" font="default" size="100%">IASTED International Conference on Computer Graphics and Imaging (CGIM)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb 2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.actapress.com/PaperInfo.aspx?paperId=454988</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IASTED - Acta Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Innsbruck, Austria</style></pub-location><pages><style face="normal" font="default" size="100%">48 - 53</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of 1D and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.2316/P.2013.797-022</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tamás Sámuel Tasi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gabriella Sanniti di Baja</style></author><author><style face="normal" font="default" size="100%">Jose Ruiz-Shulcloper</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Directional Convexity Measure for Binary Tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/chapter/10.1007%2F978-3-642-41827-3_2</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">9 - 16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;There is an increasing demand for a new measure of convexity fordiscrete sets for various applications. For example, the well- known measures for h-, v-, and hv-convexity of discrete sets in binary tomography pose rigorous criteria to be satisfied. Currently, there is no commonly accepted, unified view on what type of discrete sets should be considered nearly hv-convex, or to what extent a given discrete set can be considered convex, in case it does not satisfy the strict conditions. We propose a novel directional convexity measure for discrete sets based on various properties of the configuration of 0s and 1s in the set. It can be supported by proper theory, is easy to compute, and according to our experiments, it behaves intuitively. We expect it to become a useful alternative to other convexity measures in situations where the classical definitions cannot be used.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 84893169866doi: 10.1007/978-3-642-41827-3_2</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chris L Luengo</style></author><author><style face="normal" font="default" size="100%">Gunilla Borgefors</style></author><author><style face="normal" font="default" size="100%">Robin Strand</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient 1D and 2D barcode detection using mathematical morphology</style></title><secondary-title><style face="normal" font="default" size="100%">Mathematical Morphology and Its Applications to Signal and Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">464 - 475</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Barcode technology is essential in automatic identification,and is used in a wide range of real-time applications. Different code types and applications impose special problems, so there is a continuous need for solutions with improved performance. Several methods exist for code localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need reliable automatic barcode localization, e.g. conveyor belts and automated production, where missed detections cause loss of profit. Our goal is to detect automatically, rapidly and accurately the barcode location with the help of extracted image features. We propose a new algorithm variant, that outperforms in both accuracy and efficiency other detectors found in the literature using similar ideas, and also improves on the detection performance in detecting 2D codes compared to our previous algorithm.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-642-38294-9_39</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">László Czúni</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Improved 1D and 2D barcode detection with morphological operations</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">309 - 324</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Martin Kampel</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Local uncertainty in binary tomographic reconstruction</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IASTED - Acta Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Calgary</style></pub-location><pages><style face="normal" font="default" size="100%">490 - 496</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We describe a new approach for the uncertainty problem arisingin the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 84876584488doi: 10.2316/P.2013.798-067</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Mohamed Kamel</style></author><author><style face="normal" font="default" size="100%">Aurélio Campilho</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Novel Method for Barcode Localization in Image Domain</style></title><secondary-title><style face="normal" font="default" size="100%">Image Analysis and Recognition (ICIAR) </style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><alt-title><style face="normal" font="default" size="100%">LNCS</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin</style></pub-location><pages><style face="normal" font="default" size="100%">189 - 196</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Barcode localization is an essential step of the barcode readingprocess. For industrial environments, having high-resolution cameras and eventful scenarios, fast and reliable localization is crucial. Images acquired in those setups have limited parameters, however, they vary at each application. In earlier works we have already presented various barcode features to track for localization process. In this paper, we present a novel approach for fast barcode localization using a limited set of pixels in image domain.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-642-39094-4_22</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">László Czúni</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Vizuális kódok lokalizálásának javítása egyszerű jellemzők kombinációjával</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">483 - 495</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">M Petrou</style></author><author><style face="normal" font="default" size="100%">A D Sappa</style></author><author><style face="normal" font="default" size="100%">A G Triantafyllidis</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Barcode Detection with Morphological Operations and Clustering</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IASTED - Acta Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Crete, Greek</style></pub-location><pages><style face="normal" font="default" size="100%">51 - 57</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;first_paragraph&quot;&gt;&lt;span id=&quot;lblAbstract&quot;&gt;Barcode detection has many applications and detection methods. Each application has its own requirements for speed and detection accuracy. Fine-tuning, upgrading or combining existing methods gives fast and robust solutions for detection. Modern computer vision techniques help the whole process to be fully automated. Different detection approaches are examined in this paper, and new methods are introduced.&lt;/span&gt;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 84864778306doi: 10.2316/P.2012.778-014</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Barcode Detection with Uniform Partitioning and Morphological Operations</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD students in computer science. Volume of Extended Abstracts.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged, Institute of Informatics</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">4 - 5</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Bodnár</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kokou Yetongnon</style></author><author><style face="normal" font="default" size="100%">Richard Chbeir</style></author><author><style face="normal" font="default" size="100%">Albert Dipanda</style></author><author><style face="normal" font="default" size="100%">Luigi Gallo</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Improving barcode detection with combination of simple detectors</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Signal Image Technology &amp; Internet Systems (SITIS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Naples, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">300 - 306</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;article&quot;&gt;&lt;p&gt;&lt;span class=&quot;snippet&quot;&gt;Barcode&lt;/span&gt; &lt;span class=&quot;snippet&quot;&gt;detection&lt;/span&gt; is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for &lt;span class=&quot;snippet&quot;&gt;detection&lt;/span&gt; speed and accuracy. In our earlier works we built &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; &lt;span class=&quot;snippet&quot;&gt;detectors&lt;/span&gt; using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those &lt;span class=&quot;snippet&quot;&gt;simple&lt;/span&gt; &lt;span class=&quot;snippet&quot;&gt;detectors&lt;/span&gt; using various aggregation methods. Using a &lt;span class=&quot;snippet&quot;&gt;combination&lt;/span&gt; of several &lt;span class=&quot;snippet&quot;&gt;simple&lt;/span&gt; features localization performance &lt;span class=&quot;snippet&quot;&gt;improves&lt;/span&gt; significantly.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">13227628 </style></accession-num><notes><style face="normal" font="default" size="100%">ScopusID: 84874080233doi: 10.1109/SITIS.2012.52</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kokou Yetongnon</style></author><author><style face="normal" font="default" size="100%">Richard Chbeir</style></author><author><style face="normal" font="default" size="100%">Albert Dipanda</style></author><author><style face="normal" font="default" size="100%">Luigi Gallo</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel method for accurate and efficient barcode detection with morphological operations</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Signal Image Technology &amp; Internet Systems (SITIS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Naples, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">307 - 314</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4673-5152-2 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;article&quot;&gt;&lt;p&gt;&lt;span class=&quot;snippet&quot;&gt;Barcode&lt;/span&gt; technology is the pillar of automatic identification, that is used in a wide range of real-time applications with various types of codes. The different types of codes and applications impose special problems, so there is a continuous need for solutions with improved effectiveness. There are several &lt;span class=&quot;snippet&quot;&gt;methods&lt;/span&gt; for &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need automatic &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; localization, e.g. conveyor belts, automated production, where missed &lt;span class=&quot;snippet&quot;&gt;detections&lt;/span&gt; cause loss of profit. In this paper, we mainly deal with segmentation of images with 1D &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt;, but also analyze the &lt;span class=&quot;snippet&quot;&gt;operation&lt;/span&gt; of different &lt;span class=&quot;snippet&quot;&gt;methods&lt;/span&gt; for 2D &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; images as well. Our goal is to detect automatically, rapidly and accurately the &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; location by the help of extracted features. We compare some published &lt;span class=&quot;snippet&quot;&gt;method&lt;/span&gt; from the literature, which basically rely on the contrast between the background and the shape that represent the code. We also propose a &lt;span class=&quot;snippet&quot;&gt;novel&lt;/span&gt; algorithm, that outperforms the others in both accuracy and efficiency in detecting 1D codes.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">13227629</style></accession-num><notes><style face="normal" font="default" size="100%">ScopusID: 84874042343doi: 10.1109/SITIS.2012.53</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Zhigou Cao</style></author><author><style face="normal" font="default" size="100%">Aaron Fenster</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Chao Cai</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Multispectral Image Acquisition, Processing, and Analysis (MIPPR)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Guilin, China</style></pub-location><volume><style face="normal" font="default" size="100%">8002</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference proceedings</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1117/12.910237</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Glaucoma Risk Index: Automated glaucoma detection from color fundus images</style></title><secondary-title><style face="normal" font="default" size="100%">MEDICAL IMAGE ANALYSIS</style></secondary-title><short-title><style face="normal" font="default" size="100%">MED IMAGE ANAL</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">471 - 481</style></pages><isbn><style face="normal" font="default" size="100%">1361-8415</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Glaucoma as a neurodegeneration of the optic nerve is one of themost common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography- based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">UT: 000278255900016ScopusID: 77951645182doi: 10.1016/j.media.2009.12.006</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image analysis methods for medical research, diagnostic and therapeutic applications</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">PhD Thesis</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>25</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Bence Kiss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Method and system for automatically segmenting organs from three dimensional computed tomography images</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Amerikai Egyesült Államok</style></pub-location><volume><style face="normal" font="default" size="100%">US20050907690</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">US7545979</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Nong Sang</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Hengqing Tong</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">MIPPR 2009: Multispectral Image Acquisition and Processing</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><volume><style face="normal" font="default" size="100%">7494</style></volume><isbn><style face="normal" font="default" size="100%">9780819478054 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Book</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1117/12.839775Yichang</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal Automated Glaucoma Detection Combining the Glaucoma Probability Score and the Glaucoma Risk Index</style></title><secondary-title><style face="normal" font="default" size="100%">INVESTIGATIVE OPHTHALMOLOGY &amp; VISUAL SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">INVEST OPHTH VIS SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">50</style></volume><pages><style face="normal" font="default" size="100%">324</style></pages><isbn><style face="normal" font="default" size="100%">0146-0404</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Purpose:Fundus camera and Heidelberg Retina Tomograph (HRT) arecommonly used for reliable glaucoma diagnosis. Quantitative glaucoma scores, however, do not utilize both image content simultaneously. We propose the combination of topography and fundus image based indices for automated glaucoma detection which outperforms their sole application of either. Methods:The probabilistic values of topography based Glaucoma Probability Score (GPS) and our fundus image based Glaucoma Risk Index (GRI) are assembled to a two-dimensional feature space. In contrast to established methods the subsequent application of a probabilistic nu-Support Vector Machine classifier (nu = 0.5, kernel: radial basis function) uses both the topographic and the textural information to determine a final glaucoma probability. Instances labeled with a final probability greater than 0.5 are considered glaucomatous.For the evaluations in a 10-fold cross- validation setup, we took a sample set (mean age: 55.4 ± 10.9 years) of papilla images of 149 glaucomatous patients (FDT test time 67.4 ± 35.6 s) and 246 normals from the Erlangen Glaucoma Registry. The gold standard diagnosis was given by a glaucoma specialist based on an elaborate ophthalmological examination with ophthalmoscopy, visual field, IOP, FDT, and HRT II. The GPS was calculated by HRT device while papilla centered color fundus images (Kowa non-myd, FOV 22°) were used to calculate the GRI. Results:The classification of the GRI resulted in an area under ROC curve (AUC) of 0.81 with an F-measure of 0.71 for glaucomatous cases and 0.83 for normals. The GPS achieved an AUC of 0.86 while the F-measure for glaucoma was 0.74 (F-measure for healthy was 0.84).The combination of both indices clearly increased the AUC by 4% up to 0.9 compared to the sole application of the GPS. The F-measure for glaucomatous images was improved up to 0.76 (F-measure for healthy images was 0.86). Conclusions:The proposed combination of the topography based GPS and the fundus image based GRI shows superior performance compared to either index alone.Both indices utilize complementary information about the glaucoma disease. Consequently, this multimodal combined application of both indices is promising to reach a more reliable automated glaucoma detection performance. The approach can be used in large screening applications where an automated tool is essential to support the experts in finding glaucomatous eyes.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type><notes><style face="normal" font="default" size="100%">ARVO Meeting Abstracts</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Preface to the Special Issue</style></title><secondary-title><style face="normal" font="default" size="100%">DISCRETE APPLIED MATHEMATICS</style></secondary-title><short-title><style face="normal" font="default" size="100%">DISCRETE APPL MATH</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">437</style></pages><isbn><style face="normal" font="default" size="100%">0166-218X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">UT: 000262243800001ScopusID: 56649097446doi: 10.1016/j.dam.2008.08.005</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Jianguo Liu</style></author><author><style face="normal" font="default" size="100%">Kunio Doi</style></author><author><style face="normal" font="default" size="100%">Aaron Fenster</style></author><author><style face="normal" font="default" size="100%">C S Chan</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Retinal image analysis for automated glaucoma risk evaluation</style></title><secondary-title><style face="normal" font="default" size="100%">MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">74971C-1 - 74971C-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Images of the eye ground not only provide an insight toimportant parts of the visual system but also reflect the general state of health of the entire human body. Automatic retina image analysis is becoming an important screening tool for early detection of certain risks and diseases. Glaucoma is one of the most common causes of blindness and is becoming even more important considering the ageing society. Robust mass-screening may help to extend the symptom-free life of affected patients. Our research is focused on a novel automated classification system for glaucoma, based on image features from fundus photographs. Our new data-driven approach requires no manual assistance and does not depend on explicit structure segmentation and measurements. First, disease independent variations, such as nonuniform illumination, size differences, and blood vessels are eliminated from the images. Then, the extracted high-dimensional feature vectors are compressed via PCA and combined before classification with SVMs takes place. The technique achieves an accuracy of detecting glaucomatous retina fundus images comparable to that of human experts. The “vessel- free” images and intermediate output of the methods are novel representations of the data for the physicians that may provide new insight into and help to better understand glaucoma.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 71549165160doi: 10.1117/12.851179</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automated Glaucoma Detection From Color Fundus Photographs</style></title><secondary-title><style face="normal" font="default" size="100%">INVESTIGATIVE OPHTHALMOLOGY &amp; VISUAL SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">INVEST OPHTH VIS SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">49</style></volume><pages><style face="normal" font="default" size="100%">1863</style></pages><isbn><style face="normal" font="default" size="100%">0146-0404</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Purpose:The presentation of a novel fully automated system thatseparates glaucomatous from healthy cases based on digital fundus images. Methods:A pre-processing step eliminates certain disease independent variations such as illumination inhomogeneities, papilla size differences and vessel structures from the input images. In order to characterize glaucomatous changes, generic feature types (pixel intensities, frequency coefficients, histogram parameters, Gabor textures, spline coefficients) are extracted. In contrast to existing approaches, each feature vector is compressed by Principal Component Analysis. The classification of the transformed features is done by a state- of-the-art nu-Support Vector Machine.For the elaborate experimental evaluation of the proposed system architecture we took a large set of papilla-centered color fundus images of 100 glaucoma patients (FDT test time 67.25 ± 33.4 s) and 100 normals (overall mean age 57.0 ± 10.0 years) from the Erlangen Glaucoma Registry (Kowa non-myd, FOV 22,5°). The gold standard was given by an experienced ophthalmologist based on a complete ophthalmological examination with ophthalmoscopy, visual field, IOP, FDT, and HRT II. Results:Classification of compressed raw pixel intensities gained a success rate of 83% with a specificity of 0.72 and a sensitivity of 0.94 to detect glaucomatous cases. A success rate of 86% was achieved by using spline coefficients with a specificity of 0.78 and a sensitivity of 0.94 to detect glaucoma. The combination of both features slightly increased specificity to 0.82 (sensitivity = 0.92). The kappa statistic of 0.74 states a robust classification scheme. Conclusions:The proposed algorithm achieves a robust and competitive glaucoma detection rate. It is comparable to known methods applied to topographic papilla images and does not depend on segmentation-based measurements. For the first time, automated glaucoma detection is performed on color fundus images. Thus, fundus photography is an appropriate modality for computer-assisted glaucoma screening.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">ARVO Meeting Abstracts</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">C Forman</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Erlanger Glaucoma Matrix - A Visualization Approach Towards Optimal Glaucomatous Optic Nerve Head Image Presentation</style></title><secondary-title><style face="normal" font="default" size="100%">INVESTIGATIVE OPHTHALMOLOGY &amp; VISUAL SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">INVEST OPHTH VIS SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 2008</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Arvo</style></publisher><volume><style face="normal" font="default" size="100%">49</style></volume><pages><style face="normal" font="default" size="100%">1893</style></pages><isbn><style face="normal" font="default" size="100%">0146-0404</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Purpose:Presentation of a two-dimensional visualization approachfor intuitive and reliable glaucoma diagnosis and for setting a current observation into a relationship with pre-diagnosed data. Methods:We present a new matrix visualization technique for digital optic nerve head images. The matrix is filled with 300 pre-diagnosed reference images which show different papilla sizes and varying stages of glaucoma disease. In matrix rows the samples range from healthy ones to advanced glaucoma cases. In matrix columns the papillas are ordered by the size of the optic nerve head. The approach generalizes such that the samples can be ordered by additional criteria, too, e. g. subjects' age or anamnestic risk factors. Furthermore arbitrary image modalities and image numbers can be incorporated. Results:The glaucoma classification of a single image is difficult even for experts. Our proposed visualization provides an intuitive way for neighborhood comparisons of optic nerve head images. It allows to evaluate an image in the context of given pre-diagnosed reference samples. By the two-dimensional presentation one can study disease-dependent changes separate from other variations. Glaucoma progression can be observed separated from size variations. Thus, it supports diagnosis even in problematic cases such as macropapillas. The trustworthiness of physicians' diagnosis can be improved. Conclusions:Our approach gives insights on glaucomatous optic nerve appearance in relation to varying papilla sizes. The novel visualization of a single image within the context of other images is considered as an important tool for learning and training medical glaucoma detection. This approach visualizes computer calculated risk estimations by presenting the result within context of given gold-standard images. In contrast to pure classification systems our method does not come up with a hard decision but explains the relationship to similar pre- diagnosed cases.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">ARVO Meeting Abstracts</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">György Bekes</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Geometrical model-based segmentation of the organs of sight on CT images</style></title><secondary-title><style face="normal" font="default" size="100%">MEDICAL PHYSICS</style></secondary-title><short-title><style face="normal" font="default" size="100%">MED PHYS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb 2008</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">35</style></volume><pages><style face="normal" font="default" size="100%">735 - 743</style></pages><isbn><style face="normal" font="default" size="100%">0094-2405</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Segmentation of organs of sight such as the eyeballs, lenses,and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">UT: 000253318400036ScopusID: 38849194643doi: 10.1118/1.2826557</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Balázs</style></author><author><style face="normal" font="default" size="100%">Balázs Erdőhelyi</style></author><author><style face="normal" font="default" size="100%">Endre Katona</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Pethő</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A képfeldolgozás kutatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban 2008</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.agr.unideb.hu/if2008/kiadvany/papers/E62.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem Informatikai Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A digitális képfeldolgozás kutatásának a Szegedi TudományegyetemTermészettudományi és Informatikai Karán, az Informatikai 
Tanszékcsoport Képfeldolgozás és Számítógépes Grafika Tanszékén 
közel négy évtizedes hagyománya van.
A Tanszék valamennyi munkatársa nemzetközileg elismert 
kutatómunkát folytat, melyet már több száz rangos publikáció 
fémjelez. Számos, a képfeldolgozás kutatásában vezető egyetemmel 
és kutatóintézettel építettünk ki szoros kapcsolatot és 
folytattunk eredményes kutatómunkát, aktív résztvevői vagyunk a 
hazai és a nemzetközi tudományos közéletnek.
A legfontosabb, jelenleg is folyó kutatásaink: orvosi képek 
feldolgozása, diszkrét tomográfia, képszegmentálás, 
térinformatika, távérzékelés, képregisztráció, vázkijelölés, 
műtéti tervezés.
</style></abstract><notes><style face="normal" font="default" size="100%">Art. No.: E62</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Jiří Jan</style></author><author><style face="normal" font="default" size="100%">Jiří Konzuplik</style></author><author><style face="normal" font="default" size="100%">Ivo Provazník</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Novel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis</style></title><secondary-title><style face="normal" font="default" size="100%">Analysis of Biomedical Signals and Images</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Brno University of Technology</style></publisher><pub-location><style face="normal" font="default" size="100%">Brno</style></pub-location><pages><style face="normal" font="default" size="100%">205 - 209</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Glaucoma is one of the most common causes for blindnessworldwide. Screening is adequate to detect glaucoma at an early stage. Although it is supported by computer assisted tools no further information from former clinical studies is incorporated. We devised a novel visualization tool that presents additional comparative image data for the diagnosis process. Automated computation of a glaucoma risk index on color fundus photographs is used to initially position an undiagnosed image in reference data. The index achieves a competitive glaucoma detection rate. The combination of the automated risk index and the new visualization technique is an important tool towards a faster and more reliable diagnosis of glaucoma.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">WoS: 000303717200044</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>25</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author><author><style face="normal" font="default" size="100%">Géza Makay</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Judit Kanyó</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Systems and methods for segmenting an organ in a plurality of images</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Amerikai Egyesült Államok</style></pub-location><volume><style face="normal" font="default" size="100%">US20040858241</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">US7388973</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Anna Vilanova Bartroli</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">Andrea Ruppert</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Emanuele Neri</style></author><author><style face="normal" font="default" size="100%">Davide Caramella</style></author><author><style face="normal" font="default" size="100%">Carlo Bartolozzi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Techniques of Virtual Dissection of the Colon Based on Spiral CT Data</style></title><secondary-title><style face="normal" font="default" size="100%">Image Processing in Radiology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin</style></pub-location><pages><style face="normal" font="default" size="100%">257 - 268</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Colorectal cancer represents the third most commonly diagnosedcancer and is the second leading cause of cancer deaths in the United States (Gazelle et al. 2000). In addition, colorectal cancer is responsible for about 11% of all new cancer cases per year (Gazelle et al. 2000). Five-year prognosis is about 90% for patients with localized disease compared to 60% if there is a regional spread and a drop to 10% in patients with distant metastasis (Gazelle et al. 2000). In the field of medicine there is a widely accepted opinion that most colorectal cancers arise from pre-existent adenomatous polyps (Johnson 2000). Therefore, different societies, such as the American Cancer Society, have proposed screening for colorectal cancer (Byers et al. 1997; Winawer et al. 1997). Today, different options exist for detection of colorectal cancer, including digital rectal examination, fecal occult blood testing, flexible and rigid sigmoidoscopy, barium enema and its variants, colonoscopy and recently computed tomography or magnetic resonance-based virtual colonography (Gazelle et al. 2000).&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Book chapter</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-540-49830-8_18</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">György Bekes</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D segmentation of liver, kidneys and spleen from CT images</style></title><secondary-title><style face="normal" font="default" size="100%">INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY</style></secondary-title><short-title><style face="normal" font="default" size="100%">INT J COMPUT ASSIST RADIOL SURG</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2007</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">S45 - S47</style></pages><isbn><style face="normal" font="default" size="100%">1861-6410</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The clinicians often need to segment the abdominal organs forradiotherapy planning. Manual segmentation of these organs is very time-consuming, therefore automated methods are desired. We developed a semi-automatic segmentation method to outline liver, spleen and kidneys. It works on CT images without contrast intake that are acquired with a routine clinical protocol. From an initial surface around a user defined seed point, the segmentation of the organ is obtained by an active surface algorithm. Pre- and post-processing steps are used to adapt the general method for specific organs. The evaluation results show that the accuracy of our method is about 90%, which can be further improved with little manual editing, and that the precision is slightly higher than that of manual contouring. Our method is accurate, precise and fast enough to use in the clinical practice.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1 SUPPL.</style></issue><work-type><style face="normal" font="default" size="100%">Jounal article</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 34250685687doi: 10.1007/s11548-007-0083-7</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Simone Wärntges</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Ernst W Mayr</style></author><author><style face="normal" font="default" size="100%">Sergey Schookin</style></author><author><style face="normal" font="default" size="100%">Hubertus Feußner</style></author><author><style face="normal" font="default" size="100%">Nassir Navab</style></author><author><style face="normal" font="default" size="100%">Yuri V. Gulyaev</style></author><author><style face="normal" font="default" size="100%">Kurt Höller</style></author><author><style face="normal" font="default" size="100%">Victor Ganzha</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Appearance-based Approach to Extract an Age-related Biomarker from Retinal Images</style></title><secondary-title><style face="normal" font="default" size="100%">3rd Russian-Bavarian Conference on Bio-Medical Engineering, Proceedings</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Friedrich-Alexander University Erlangen-Nuremberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Erlangen</style></pub-location><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">127 - 131</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present an appearance-based method that extracts a new age-related biomarker from retina images. The Principal Component Analysis is applied on intensity values of the illumination corrected green channel of fundus images. The algorithm does not use segmentation, is robust and shows a high range of reliability. It identiﬁed an age-related feature with a strong inﬂuence of the temporal parapapillary area and the optic nerve head. The feature correlates with chronological age of the participants and is signiﬁcantly inﬂuenced by the appearance of cardiovascular risk factors such as smoking and hypertension, and thus it can be designated a biomarker. We extract and validate a medical parameter from retina images applying a purely data-driven approach without using any prior knowledge.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Fred A Hamprecht</style></author><author><style face="normal" font="default" size="100%">Christoph Schnorr</style></author><author><style face="normal" font="default" size="100%">Bernd Jähne</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Classifying Glaucoma with Image-based Features from Fundus Photographs</style></title><secondary-title><style face="normal" font="default" size="100%">Pattern Recognition</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 2007</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4713</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">355 - 364</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-74933-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Glaucoma is one of the most common causes of blindness and it isbecoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not possible early detection and prevention is essential. Robust, automated mass-screening will help to extend the symptom-free life of affected patients. We devised a novel, automated, appearance based glaucoma classification system that does not depend on segmentation based measurements. Our purely data-driven approach is applicable in large-scale screening examinations. It applies a standard pattern recognition pipeline with a 2-stage classification step. Several types of image-based features were analyzed and are combined to capture glaucomatous structures. Certain disease independent variations such as illumination inhomogeneities, size differences, and vessel structures are eliminated in the preprocessing phase. The “vessel-free” images and intermediate results of the methods are novel representations of the data for the physicians that may provide new insight into and help to better understand glaucoma. Our system achieves 86 % success rate on a data set containing a mixture of 200 real images of healthy and glaucomatous eyes. The performance of the system is comparable to human medical experts in detecting glaucomatous retina fundus images.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 38149039478doi: 10.1007/978-3-540-74936-3_36</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Walter G Kropatsch</style></author><author><style face="normal" font="default" size="100%">Martin Kampel</style></author><author><style face="normal" font="default" size="100%">Allan Hanbury</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Analysis of Images and Patterns</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2007</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4673</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">165 - 172</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-74271-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Early detection of glaucoma is essential for preventing one ofthe most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photographs which does not depend on structure segmentation or prior expert knowledge. Our new data driven approach that needs no manual assistance achieves an accuracy of detecting glaucomatous retina fundus images compareable to human experts. In this paper, we study image preprocessing methods to provide better input for more reliable automated glaucoma detection. We reduce disease independent variations without removing information that discriminates between images of healthy and glaucomatous eyes. In particular, nonuniform illumination is corrected, blood vessels are inpainted and the region of interest is normalized before feature extraction and subsequent classification. The effect of these steps was evaluated using principal component analysis for dimension reduction and support vector machine as classifier.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 38149068236doi: 10.1007/978-3-540-74272-2_21</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">Simone Wärntges</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Extraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach</style></title><secondary-title><style face="normal" font="default" size="100%">INVESTIGATIVE OPHTHALMOLOGY &amp; VISUAL SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">INVEST OPHTH VIS SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">48</style></volume><pages><style face="normal" font="default" size="100%">2167</style></pages><isbn><style face="normal" font="default" size="100%">0146-0404</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Purpose:To develop an appropriate algorithm from retina imagesusing an appearance-based version of the Principal Component Analysis and to test the age-related biomarker’s significance for patients at cardiovascular risk. Methods:Sixty-five men (age, 44.2 ± 11.4 years) and 60 women (age, 48.8 ± 12.6 years) without cardiovascular risk factors and without pathologic eye diagnosis were acquired during a clinical non-experimental cross-sectional survey and represented the control group. Forty-four hypertensive men (age, 45.5 ± 9.4 years; hypertensive for 5.9 ± 6.7 years) and 26 hypertensive women (age, 51.2 ± 7.3 years; hypertensive for 7.9 ± 7.1 years) as well as 57 male smokers (age, 41.8 ± 8.5 years; smoking for 20.6 ± 9.8 years; 15.3 ± 8.6 cigarettes per day) and 60 female smokers (age, 43.2 ± 9.5 years; smoking for 20.1 ± 10.7 years; 13.5 ± 8.1 cigarettes per day) were matched for age and sex to the respective number of control subjects. Results:The reliability of the algorithm was 0.958. The retinal biomarker correlated with age (men, -0.284, p = 0.017; women, -0.374, p = 0.001). Smokers showed a lower biomarker value (male, -0.16 ± 1.29; female, -0.12 ± 0.11) than age-matched control subjects (male, 0.72 ± 0.92, p &amp;lt; 0.001; female, 0.24 ± 0.98, p = 0.048). Hypertension had a similar influence to the biomarker in men (0.10 ± 0.84), but not in women (-0.46 ± 1.23) as compared to age-matched controls (male, 0.57 ± 0.95, p = 0.01; female, 0.06 ± 0.99, p = 0.09). Conclusions:The algorithm of the appearance-based version of the Principal Component Analysis identified an age-related image feature dependent on light intensity with a strong influence to the temporal parapapillary area. It may be used to identify patients at cardiovascular risk.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><notes><style face="normal" font="default" size="100%">ARVO Meeting Abstracts</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">P Scharff</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Eye Fundus Image Processing System for Automated Glaucoma Classification</style></title><secondary-title><style face="normal" font="default" size="100%">52nd IWK - Internationales Wissenschaftliches Kolloquium - Volume II.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-12272/IWK_2007_2.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Technische Universitat</style></publisher><pub-location><style face="normal" font="default" size="100%">Ilmenau</style></pub-location><pages><style face="normal" font="default" size="100%">81 - 84</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Retina Image Analysis System for Glaucoma Detection</style></title><secondary-title><style face="normal" font="default" size="100%">BMT 2007: 41. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik im VDE</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 2007</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Aachen, Germany</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">Art. No.: 1569047505</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Florian Jäger</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Bernd Frericks</style></author><author><style face="normal" font="default" size="100%">Frank Wacker</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Alexander Horsch</style></author><author><style face="normal" font="default" size="100%">Thomas Martin Deserno</style></author><author><style face="normal" font="default" size="100%">Heinz Handels</style></author><author><style face="normal" font="default" size="100%">Hans-Peter Meinzer</style></author><author><style face="normal" font="default" size="100%">Thomas Tolxdorff</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Whole Body MRI Intensity Standardization</style></title><secondary-title><style face="normal" font="default" size="100%">Bildverarbeitung für die Medizin 2007</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Informatik aktuell</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">March 2007</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">München, Germany</style></pub-location><pages><style face="normal" font="default" size="100%">459 - 463</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-71090-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A major problem of segmentation of magnetic resonance images isthat intensities are not standardized like in computed tomography. This article deals with the correction of inter volume intensity differences that lead to a missing anatomical meaning of the observed gray values. We present a method for MRI intensity standardization of whole body MRI scans. The approach is based on the alignment of a learned reference and the current histogram. Each of these histograms is at least 2-d and represents two or more MRI sequences (e.g., T1- and T2-weighted images). From the matching a non-linear correction function is gained which describes a mapping between the intensity spaces and consequently adapts the image statistics to a known standard. As the proposed intensity standardization is based on the statistics of the data sets only, it is independent from spatial coherences or prior segmentations of the reference and newly acquired images. Furthermore, it is not designed for a particular application, body region or acquisition protocol. The method was evaluated on whole body MRI scans containing data sets acquired by T1/FL2D and T2/TIRM sequences. In order to demonstrate the applicability, examples from noisy and pathological image series acquired on a whole body MRI scanner are given.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-540-71091-2_92</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stefan Weber</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Thomas Schulle</style></author><author><style face="normal" font="default" size="100%">Christoph Schnorr</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A benchmark evaluation of large-scale optimization approaches to binary tomography</style></title><secondary-title><style face="normal" font="default" size="100%">Discrete Geometry for Computer Imagery</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">146 - 156</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000241649600013doi: 10.1007/11907350_13</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Discrete Geometry for Computer Imagery</style></title><secondary-title><style face="normal" font="default" size="100%">Discrete Geometry for Computer Imagery</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/t38633812l42/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><volume><style face="normal" font="default" size="100%">4245</style></volume><pages><style face="normal" font="default" size="100%">688</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This book constitutes the refereed proceedings of the 13th International Conference on Discrete Geometry for Computer Imagery, DGCI 2006, held in Szeged, Hungary in October 2006. The 28 revised full papers and 27 revised poster papers presented together with 2 invited papers were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on discrete geometry, discrete tomography, discrete topology, distance, image analysis, shape representation, segmentation, skeletonization, as well as surfaces and volumes. &lt;tt&gt; &lt;/tt&gt;&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">UT: 000241649600007ScopusID: 33845210215doi: 10.1007/11907350</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Darius Mohadjer</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">Bernhard Geiger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Walter Hruby</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">New advances for imaging laryngo / trachealstenosis by post processing of spiral-CT data</style></title><secondary-title><style face="normal" font="default" size="100%">Digital (r)evolution in radiology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Wien; New York</style></pub-location><pages><style face="normal" font="default" size="100%">297 - 308</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Balázs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The number of line-convex directed polyominoes having the same orthogonal projections</style></title><secondary-title><style face="normal" font="default" size="100%">Discrete Geometry for Computer Imagery</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin, Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">77 - 85</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The number of line-convex directed polyominoes with givenhorizontal and vertical projections is studied. It is proven that diagonally convex directed polyominoes are uniquely determined by their orthogonal projections. The proof of this result is algorithmical. As a counterpart, we show that ambiguity can be exponential if antidiagonal convexity is assumed about the polyomino. Then, the results are generalised to polyominoes having convexity property along arbitrary lines. © Springer-Verlag Berlin Heidelberg 2006.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">UT: 000241649600007ScopusID: 33845210215</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Judit Kanyó</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Géza Makay</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Dmitrij Chetverikov</style></author><author><style face="normal" font="default" size="100%">László Czúni</style></author><author><style face="normal" font="default" size="100%">Markus Vincze</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">311 - 318</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present two approaches for automatically segmenting thespinal cord/canal from native CT images of the thorax region 
containing the spine. Different strategies are included to 
handle images where only part of the spinal column is visible. 
The algorithms require one seed point given on a slice located 
in the middle region of the spine, and the rest is automatic. 
The spatial extent of the spinal cord/canal is determined 
automatically using anatomical information for segmenting the 
spinal canal while active contours are applied if the spinal 
cord is to be segmented. Both methods work in 2D and use 
propagated information from neighboring slices. They are also 
very rapid in execution, that means an efficient, user-friendly 
workflow. The methods were evaluated by radiologists and were 
found to be useful and met the accuracy and repeatability 
requirements for the particular task.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Judit Kanyó</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Géza Makay</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Márta Fidrich</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">André Gagalowitz</style></author><author><style face="normal" font="default" size="100%">Wilfried Philips</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Method for automatically segmenting the spinal cord and canal from 3D CT images</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Analysis of Images and Patterns</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">456 - 463</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000232301200056</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Darius Mohadjer</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Bernhard Geiger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Cornelius T Leondes</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Techniques in 3D Assessment of Tracheal-Stenosis by the Mean of Spiral Computed Tomography (S-CT) and Their Applications</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging Systems Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">World Scientific</style></publisher><pub-location><style face="normal" font="default" size="100%">Singapore</style></pub-location><pages><style face="normal" font="default" size="100%">61 - 80</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Endotracheal intubation is the most common cause of Laryngo-Tracheal Stenoses (LTS), followed by trauma and prior airway 
surgery.1–3 In rare cases LTS may have resulted also from 
inhalation injuries, gastro-esophageal reflux disease, neoplasia 
and autoimmune diseases like Wegeners granulomatosis or 
relapsing polychondritis.1,4 In pediatric patients vascular 
compression of the trachea is a common cause of tracheal 
indentations.5 Clinical management of these conditions requires 
information on localization, grade, length and dynamics of the 
stenosis. Exact LTS information is necessary, since stenoses 
with a length less than 1.0 cm can be treated by an endoscopic 
surgery.6,7 Besides Fiberoptic Endoscopy (FE), which represents 
the gold standard for airway evaluation, imaging modalities like 
conventional radiography, fluoroscopy, tracheal tomograms, 
Magnetic Resonance Imaging (MRI) and above all Spiral Computed 
Tomography (S-CT) are an essential part of the clinical work.1,8 
S-CT and the recent introduction of multislice imaging allows 
volumetric data acquisition of the Laryngo–Tracheal Tract (LTT) 
during a short time span. Decreased motion artifacts and 
increased spatial resolution form the basis for high quality 
post processing.9,10 The improved performance of today's 
workstations permits the use of sophisticated post processing 
algorithms even on standard hardware like personal computers. 
Thus real time 3D display and virtual endoscopic views (virtual 
endoscopy) are just one mouse click away. Other algorithms 
compute the medial axis of tubular structures like airways or 
vessels in 3D, which can be used for the calculation of 3D cross 
sectional profiles for better demonstration of caliber 
changes.11 Thus display of S-CT axial source images is moving 
rapidly to 3D display. Moreover, established network connections 
within and between institutions allows telemedical cooperation. 
Web technologies offer an easy to use way for information 
exchange. The objective of this paper is to present an overview 
on 3D display and quantification of LTS as well as to provide 
information how these results can be presented and shared with 
the referring physicians on the hospitals computer network. This 
article is structured in seven parts; namely: S-CT data 
acquisition for LTS imaging; selected 3D image post processing 
algorithms; 3D display; Virtual endoscopy; Objective LTS degree 
and length estimation using LTT 3D — cross-sectional profiles; 
Intranet applications; and a conclusion is drawn in the final 
section.
</style></abstract><notes><style face="normal" font="default" size="100%">doi: 10.1142/9789812701077_0003</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ying Zhuge</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">J Michael Fitzpatrick</style></author><author><style face="normal" font="default" size="100%">Milan Sonka</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Sclerosis lesion quantification in MR images by using vectorial scale-based relative fuzzy connectedness</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2004: Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">1764 - 1773</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents a methodology for segmenting PD- andT2-weighted brain magnetic resonance (MR) images of 
multiplesclerosis (MS) patients into white matter (WM), gray 
matter (GM),cerebrospinal fluid (CSF), and MS lesions. For a 
given vectorialimage (with PD- and T2-weighted components) to be 
segmented, weperform first intensity inhomogeneity correction 
andstandardization prior to segmentation. Absolute 
fuzzyconnectedness and certain morphological operations are 
utilized togenerate the brain intracranial mask. The optimum 
thresholdingmethod is applied to the product image (the image in 
which voxelvalues represent T2 value x PD value) to 
automaticallyrecognize potential MS lesion sites. Then, the 
recently developedtechnique -- vectorial scale-based relative 
fuzzy connectedness --is utilized to segment all voxels within 
the brain intracranialmask into WM, GM, CSF, and MS lesion 
regions. The number ofsegmented lesions and the volume of each 
lesion are finally outputas well as the volume of other tissue 
regions. The method has beentested on 10 clinical brain MRI data 
sets of MS patients. Anaccuracy of better than 96% has been 
achieved. The preliminaryresults indicate that its performance 
is better than that of thek-nearest neighbors (kNN) method.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 5644264947doi: 10.1117/12.535655</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Mariann Dudásné Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Endre Katona</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Zoltán Gácsi</style></author><author><style face="normal" font="default" size="100%">Péter Barkóczy</style></author><author><style face="normal" font="default" size="100%">Gábor Sárközi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2004</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Neumann János Számítógép-tudományi Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Miskolc</style></pub-location><pages><style face="normal" font="default" size="100%">191 - 196</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Az SZTE Informatikai Tanszékcsoportja által gondozott szakoktanterveiben 1993 óta szerepel a képfeldolgozás és alkalmazásainak oktatása. A kreditrendszer bevezetésével a Képfeldolgozás I. tárgy kötelező az ötéves képzésben részt vevő informatikus hallgatóknak. Ezen felül a választható szakirányok között szintén szerepel a Képfeldolgozás szakirány. A szakirányon belül különböző képpfeldolgozási területeket tárgyaló kurzusok épülnek egymásra. Az elméleti megalapozás mellett a képfeldolgozás alkalmazásaira is nagy hangsúlyt fektetünk. A kutatások illetve az orvosi alkalmazások fejlesztése során szerzett eredményeket a kötelező jellegű tárgyak mellett speciálkollégiumok keretében építjül be az otkatási anyagba. Számos hallgatónk választ a képfeldolgzás területéről témát a diplomamunkájához, dolgozataikkal rendszeresen és sikerrel szerepelnek az OTDK-n. Hallgatóink évente több hónapot tölthetnek külföldi partneregyetemeinken, ahol a kutató- és fejlesztőmunka mellett nálunk is elfogadott kurzusokat teljesíthetnek. A képfeldolgozás témakörön belül &quot;ipari&quot; projekt munkákban is egyre több hallgató vesz részt. A doktori programon belül is meghirdetünk képfeldolgozáshoz kapcsolódó kutatási irányokat. Az évente megrendezésre kerülő, 11-éves múltra visszatekintő Képfeldolgozó Nyári Iskolának (SSIP) eddig hatszor adott otthont Szeged. A rendszvénysorozat kiemelkedő fontosságú nemzetközi fórum hallgatóink és oktatóink számára is.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Csongor Halmai</style></author><author><style face="normal" font="default" size="100%">Balázs Erdőhelyi</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Krisztián Ollé</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">Gerhard Friedrich</style></author><author><style face="normal" font="default" size="100%">Karl Kiesler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGE</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGE</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">1056 - 1068</style></pages><isbn><style face="normal" font="default" size="100%">0033-832X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: Demonstration of a technique for 3D assessment oftracheal stenoses, regarding site, length and degree, based on 
spiral computed tomography (S-CT). PATIENTS AND METHODS: S-CT 
scanning and automated segmentation of the laryngo-tracheal 
tract (LTT) was followed by the extraction of the LTT medial 
axis using a skeletonisation algorithm. Orthogonal to the medial 
axis the LTT 3D cross sectional profile was computed and 
presented as line charts, where degree and length were obtained. 
Values for both parameters were compared between 36 patients and 
18 normal controls separately. Accuracy and precision was 
derived from 17 phantom studies. RESULTS: Average degree and 
length of tracheal stenoses were found to be 60.5% and 4.32 cm 
in patients compared to minor caliber changes of 8.8% and 2.31 
cm in normal controls (p &lt;0.005). For the phantoms an excellent 
correlation between the true and computed 3D cross sectional 
profile was found (p &lt;0.005) and an accuracy for length and 
degree measurements of 2.14 mm and 2.53% respectively could be 
determined. The corresponding figures for the precision were 
found to be 0.92 mm and 2.56%. CONCLUSION: LTT 3D cross 
sectional profiles permit objective, accurate and precise 
assessment of LTT caliber changes. Minor LTT caliber changes can 
be observed even in normals and, in case of an otherwise normal 
S-CT study, can be regarded as artefacts.
</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><notes><style face="normal" font="default" size="100%">UT: 000188058500005ScopusID: 9144241258doi: 10.1007/s00117-003-0990-8</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Csongor Halmai</style></author><author><style face="normal" font="default" size="100%">Balázs Erdőhelyi</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Krisztián Ollé</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">Gerhard Friedrich</style></author><author><style face="normal" font="default" size="100%">Karl Kiesler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGE</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGE</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">1056 - 1068</style></pages><isbn><style face="normal" font="default" size="100%">0033-832X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: Demonstration of a technique for 3D assessment oftracheal stenoses, regarding site, length and degree, based on 
spiral computed tomography (S-CT). PATIENTS AND METHODS: S-CT 
scanning and automated segmentation of the laryngo-tracheal 
tract (LTT) was followed by the extraction of the LTT medial 
axis using a skeletonisation algorithm. Orthogonal to the medial 
axis the LTT 3D cross sectional profile was computed and 
presented as line charts, where degree and length were obtained. 
Values for both parameters were compared between 36 patients and 
18 normal controls separately. Accuracy and precision was 
derived from 17 phantom studies. RESULTS: Average degree and 
length of tracheal stenoses were found to be 60.5% and 4.32 cm 
in patients compared to minor caliber changes of 8.8% and 2.31 
cm in normal controls (p &lt;0.005). For the phantoms an excellent 
correlation between the true and computed 3D cross sectional 
profile was found (p &lt;0.005) and an accuracy for length and 
degree measurements of 2.14 mm and 2.53% respectively could be 
determined. The corresponding figures for the precision were 
found to be 0.92 mm and 2.56%. CONCLUSION: LTT 3D cross 
sectional profiles permit objective, accurate and precise 
assessment of LTT caliber changes. Minor LTT caliber changes can 
be observed even in normals and, in case of an otherwise normal 
S-CT study, can be regarded as artefacts.
</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><notes><style face="normal" font="default" size="100%">UT: 000188058500005ScopusID: 9144241258doi: 10.1007/s00117-003-0990-8</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sorantin, Erich.</style></author><author><style face="normal" font="default" size="100%">Halmai, Csongor.</style></author><author><style face="normal" font="default" size="100%">Balázs Erdőhelyi</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Ollé, Krisztián.</style></author><author><style face="normal" font="default" size="100%">Geiger, B.</style></author><author><style face="normal" font="default" size="100%">Lindbichler, F.</style></author><author><style face="normal" font="default" size="100%">Friedrich, G.</style></author><author><style face="normal" font="default" size="100%">Kiesler, K.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D-Querschnittsprofil des Laryngotrachealtrakts—Eine neue Methode zur Visualisierung und Quantifizierung von Trachealstenosen</style></title><secondary-title><style face="normal" font="default" size="100%">Der Radiologe</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/s00117-003-0990-8</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">1056-1068</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;abstract-content formatted&quot; itemprop=&quot;description&quot;&gt;&lt;h3 class=&quot;a-plus-plus&quot;&gt;Purpose&lt;/h3&gt;&lt;p class=&quot;a-plus-plus&quot;&gt;Demonstration of a technique for 3D assessment of tracheal stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT).&lt;/p&gt;&lt;h3 class=&quot;a-plus-plus&quot;&gt;Patients and Methods&lt;/h3&gt;&lt;p class=&quot;a-plus-plus&quot;&gt;S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonisation algorithm. Orthogonal to the medial axis the LTT 3D cross sectional profile was computed and presented as line charts, where degree and length were obtained. Values for both parameters were compared between 36&amp;nbsp;patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies.&lt;/p&gt;&lt;h3 class=&quot;a-plus-plus&quot;&gt;Results&lt;/h3&gt;&lt;p class=&quot;a-plus-plus&quot;&gt;Average degree and length of tracheal stenoses were found to be 60.5% and 4.32&amp;nbsp;cm in patients compared to minor caliber changes of 8.8% and 2.31&amp;nbsp;cm in normal controls (p &amp;lt;0.005). For the phantoms an excellent correlation between the true and computed 3D cross sectional profile was found (p &amp;lt;0.005) and an accuray for length and degree measurements of 2.14&amp;nbsp;mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92&amp;nbsp;mm and 2.56%.&lt;/p&gt;&lt;h3 class=&quot;a-plus-plus&quot;&gt;Conclusion&lt;/h3&gt;&lt;p class=&quot;a-plus-plus&quot;&gt;LTT 3D cross sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artefacts.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Journal Article</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tianhu Lei</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Dewei Odhner</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Punam K Saha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTERIZED MEDICAL IMAGING AND GRAPHICS</style></secondary-title><short-title><style face="normal" font="default" size="100%">COMPUT MED IMAG GRAP</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">27</style></volume><pages><style face="normal" font="default" size="100%">351 - 362</style></pages><isbn><style face="normal" font="default" size="100%">0895-6111</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Our earlier study developed a computerized method, based onfuzzy connected object delineation principles and algorithms, 
for artery and vein separation in contrast enhanced Magnetic 
Resonance Angiography (CE-MRA) images. This paper reports its 
current development-a software package-for routine clinical use. 
The software package, termed 3DVIEWNIX-AVS, consists of the 
following major operational parts: (1) converting data from 
DICOM3 to 3DVIEWNIX format, (2) previewing slices and creating 
VOI and MIP Shell, (3) segmenting vessel, (4) separating artery 
and vein, (5) shell rendering vascular structures and creating 
animations.This package has been applied to EPIX Medical Inc's 
CE-MRA data (AngioMark MS-325). One hundred and thirty-five 
original CE-MRA data sets (of 52 patients) from 6 hospitals have 
been processed. In all case studies, unified parameter settings 
produce correct artery-vein separation. The current package is 
running on a Pentium PC under Linux and the total computation 
time per study is about 3 min.The strengths of this software 
package are (1) minimal user interaction, (2) minimal anatomic 
knowledge requirements on human vascular system, (3) clinically 
required speed, (4) free entry to any operational stages, (5) 
reproducible, reliable, high quality of results, and (6) cost 
effective computer implementation. To date, it seems to be the 
only software package (using an image processing approach) 
available for artery and vein separation of the human vascular 
system for routine use in a clinical setting.
</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><notes><style face="normal" font="default" size="100%">UT: 000184800600003ScopusID: 0038122922doi: 10.1016/S0895-6111(03)00029-6</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Punam K Saha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Incorporating a measure of local scale in voxel-based 3-D image registration</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE TRANSACTIONS ON MEDICAL IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">IEEE T MED IMAGING</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">228 - 237</style></pages><isbn><style face="normal" font="default" size="100%">0278-0062</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a new class of approaches for rigid-body registrationand their evaluation in studying multiple sclerosis (MS) via 
multiprotocol magnetic resonance imaging (MRI). Three pairs of 
rigid-body registration algorithms were implemented, using 
cross-correlation and mutual information (MI), operating on 
original gray-level images, and utilizing the intermediate 
images resulting from our new scale-based method. In the scale 
image, every voxel has the local &quot;scale&quot; value assigned to it, 
defined as the radius of the largest ball centered at the voxel 
with homogeneous intensities. Three-dimensional image data of 
the head were acquired from ten MS patients for each of six MRI 
protocols. Images in some of the protocols were acquired in 
registration. The registered pairs were used as ground truth. 
Accuracy and consistency of the six registration methods were 
measured within and between protocols for known amounts of 
misregistrations. Our analysis indicates that there is no &quot;best&quot; 
method. For medium misregistration, the method using MI, for 
small add large misregistration the method using normalized 
cross-correlation performs best. For high-resolution data the 
correlation method and for low-resolution data the MI method, 
both using the original gray-level images, are the most 
consistent. We have previously demonstrated the use of local 
scale information in fuzzy connectedness segmentation and image 
filtering. Scale may also have potential for image registration 
as suggested by this work.
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">UT: 000182391600009ScopusID: 0038398636doi: 10.1109/TMI.2002.808358</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>25</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Method for standardizing the MR image intensity scale</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Amerikai Egyesült Államok</style></pub-location><volume><style face="normal" font="default" size="100%">US19990447781</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">US6584216</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Digitális képtároló és képtovábbító rendszer (PACS) a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők III. Konfereciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">132 - 139</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Digitális képtároló és képtovábbító rendszer (PACS) a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők III. Konfereciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">132 - 139</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Alexandre X. Falcao</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy-connected 3D image segmentation at interactive speeds</style></title><secondary-title><style face="normal" font="default" size="100%">GRAPHICAL MODELS</style></secondary-title><short-title><style face="normal" font="default" size="100%">GRAPH MODELS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">64</style></volume><pages><style face="normal" font="default" size="100%">259 - 281</style></pages><isbn><style face="normal" font="default" size="100%">1524-0703</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Image segmentation techniques using fuzzy connectednessprinciples hake shown their effectiveness in segmenting a 
variety of objects in several large applications in recent 
years. However, one problem with these algorithms has been their 
excessive computational requirements. In an attempt to 
substantially speed them up. in the present paper, we study 
systematically a host of 18 'optimal' graph search algorithms. 
Extensive testing of these algorithms on a variety of 3D medical 
images taken from large ongoing applications demonstrates that a 
20 1000-fold improvement over current speeds is achievable with 
a combination of algorithms and last modern PCs. Utilizing 
efficient algorithms and careful selection of implementations 
can speed up the computation of fuzzy connectedness values by a 
factor of 16 29 (on the same hardware), as compared to the 
implementation previously used in our applications utilizing 
fuzzy object segmentation. The optimality of an algorithm 
depends on the input data as well as on the choice of the fuzzy 
affinity relation. The running time is reduced considerably (by 
a factor up to 34 for brain MR and even more for bone CT), when 
the algorithms make use of predetermined thresholds for the 
fuzz), objects. The reliable recognition (assisted by human 
operators) and the accurate, efficient. and sophisticated 
delineation (automatically performed by the computer) can be 
effectively incorporated into a single interactive process. If 
images having intensities kith tissue-Specific meaning (such Lis 
CT or standardized MR images) are utilized. most of the 
parameters for the segmentation method can be fixed once for 
all. all, intermediate data (feature and fuzzy affinity values 
for the hole scene) can be computed before the user interaction 
is needed and the user can be provided kith more information at 
the little of interaction.
</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><notes><style face="normal" font="default" size="100%">UT: 000182188800001ScopusID: 0038708574doi: 10.1016/S1077-3169(02)00005-9</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">R J Bale</style></author><author><style face="normal" font="default" size="100%">W Birkfellner</style></author><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">H Staedele</style></author><author><style face="normal" font="default" size="100%">J Kettenbach</style></author><author><style face="normal" font="default" size="100%">W Recheis</style></author><author><style face="normal" font="default" size="100%">M Voegele</style></author><author><style face="normal" font="default" size="100%">R Sweeney</style></author><author><style face="normal" font="default" size="100%">P Kovács</style></author><author><style face="normal" font="default" size="100%">R Wegenkittl</style></author><author><style face="normal" font="default" size="100%">G Bodner</style></author><author><style face="normal" font="default" size="100%">W Jaschke</style></author><author><style face="normal" font="default" size="100%">D zur Nedden</style></author><author><style face="normal" font="default" size="100%">E Eisner</style></author><author><style face="normal" font="default" size="100%">G Kronreig</style></author><author><style face="normal" font="default" size="100%">M Furst</style></author><author><style face="normal" font="default" size="100%">R Hanel</style></author><author><style face="normal" font="default" size="100%">M Figl</style></author><author><style face="normal" font="default" size="100%">H Bergmann</style></author><author><style face="normal" font="default" size="100%">D Hanson</style></author><author><style face="normal" font="default" size="100%">László Ruskó</style></author><author><style face="normal" font="default" size="100%">Lajos Rodek</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Anna Vilanova Bartroli</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">A L Jacob</style></author><author><style face="normal" font="default" size="100%">B Baumann</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">P Messmer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Medical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology</style></title><secondary-title><style face="normal" font="default" size="100%">EUROPEAN RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">EUR RADIOL</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">504</style></pages><isbn><style face="normal" font="default" size="100%">0938-7994</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1 Suppl</style></issue><notes><style face="normal" font="default" size="100%">doi: 10.1007/s00330-002-0004-7</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Novel MR Image Analysis Strategies: Applications in Multiple Sclerosis</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Milan Sonka</style></author><author><style face="normal" font="default" size="100%">J Michael Fitzpatrick</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A protocol-independent brain MRI segmentation method</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2002: Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">1588 - 1599</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a segmentation method that combines the robust,accurate, and efficient techniques of fuzzy connectedness with 
standardized MRI intensities and fast algorithms. The result is 
a general segmentation framework that more efficiently utilizes 
the user input (for recognition) and the power of computer (for 
delineation). This same method has been applied to segment brain 
tissues from a variety of MRI protocols. Images were corrected 
for inhomogeneity and standardized to yield tissue-specific 
intensity values. All parameters for the fuzzy affinity 
relations were fixed for a specific input protocol. Scale-based 
fuzzy affinity was used to better capture fine structures. Brain 
tissues were segmented as 3D fuzzy-connected objects by using 
relative fuzzy connectedness. The user can specify seed points 
in about a minute and tracking the 3D fuzzy-connected objects 
takes about 20 seconds per object. All other computations were 
performed before any user interaction took place. Segmentation 
of brain tissues as 3D fuzzy-connected objects from MRI data is 
feasible at interactive speeds. Utilizing the robust fuzzy 
connectedness principles and fast algorithms, it is possible to 
interactively select fuzzy affinity, seed point, and threshold 
parameters and perform efficient, precise, and accurate 
segmentations.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0036030011doi: 10.1117/12.467128</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Csongor Halmai</style></author><author><style face="normal" font="default" size="100%">Balázs Erdőhelyi</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Krisztián Ollé</style></author><author><style face="normal" font="default" size="100%">Bernhard Geiger</style></author><author><style face="normal" font="default" size="100%">Franz Lindbichler</style></author><author><style face="normal" font="default" size="100%">Gerhard Friedrich</style></author><author><style face="normal" font="default" size="100%">Karl Kiesler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE TRANSACTIONS ON MEDICAL IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">IEEE T MED IMAGING</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">263 - 273</style></pages><isbn><style face="normal" font="default" size="100%">0278-0062</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: Demonstration of a technique for three-dimensional (3-D) assessment of tracheal-stenoses, regarding site, length and 
degree, based on spiral computed tomography (S-CT). PATIENTS AND 
METHODS: S-CT scanning and automated segmentation of the 
laryngo-tracheal tract (LTT) was followed by the extraction of 
the LTT medial axis using a skeletonization algorithm. 
Orthogonal to the medial axis the LTT 3-D cross-sectional 
profile was computed and presented as line charts, where degree 
and length was obtained. Values for both parameters were 
compared between 36 patients and 18 normal controls separately. 
Accuracy and precision was derived from 17 phantom studies. 
RESULTS: Average degree and length of tracheal stenoses was 
found to be 60.5% and 4.32 cm in patients compared with minor 
caliber changes of 8.8% and 2.31 cm in normal controls (p &lt;&lt; 
0.0001). For the phantoms an excellent correlation between the 
true and computed 3-D cross-sectional profile was found (p &lt;&lt; 
0.005) and an accuracy for length and degree measurements of 
2.14 mm and 2.53% respectively could be determined. The 
corresponding figures for the precision were found to be 0.92 mm 
and 2.56%. CONCLUSION: LTT 3-D cross-sectional profiles permit 
objective, accurate and precise assessment of LTT caliber 
changes. Minor LTT caliber changes can be observed even in 
normals and, in case of an otherwise normal S-CT study, can be 
regarded as artifacts.
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">UT: 000175063900007ScopusID: 0036489382doi: 10.1109/42.996344</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Mariann Dudásné Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Tanacs</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Péter Arató</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">750 - 757</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A Szegedi Tudományegyetem tanterveiben 1993 óta szerepel aképfeldolgozás és alkalmazásainak oktatása. A tantárgy ez idő 
alatt sok változáson ment át. Jelenleg a Képfeldolgozás 
szakirányt választó hallgatók részesülnek ilyen képzésben. Az 
adott szakirányon belül különböző képfeldolgozási területek 
oktatása épül egymásra. Az oktatás során nem csak elméleti és 
gyakorlati ismereteket szerezhetnek a hallgatók, hanem néhány 
(főleg orvosi) alkalmazás is bemutatásra kerül. A kötelező 
jellegű tárgyak mellett speciálkollégiumok engednek bepillantást 
más kiegészítő területekre. A hallgatók a képfeldolgozás témával 
rendszeresen vesznek rész helyi és országos Tudományos DIákköri 
Konferenciákon. Az utóbbi időben sikerült a képfeldolgozásban 
érdekelt cégekkel felvenni a kapcsolatot, így évente több 
hallgató vehet részt ipari alkalmazások fejlesztésében. A 
doktori programon belül is meghirdetünk képfeldolgozáshoz 
kapcsolódó kutatási irányokat. Ezenkívül rendszeresen 
megrendezzük a nemzetközi Képfeldolgozó Nyári Iskolákat, ahol 
nemcsak Magyarországról, hanem a környező országokból is 
fogadunk hallgatókat és oktatókat.
</style></abstract><notes><style face="normal" font="default" size="100%">A nyomtatott kötetben az absztrakt a 150. oldalon található.A teljes cikk a CD mellékleten, a D41.pdf fájlban, a megadott oldalszámokkal szerepel.
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Többdimenziós MRI képek feldolgozása</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők III. Konfereciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">96 - 97</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Georg Werkgartner</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Anna Vilanova Bartroli</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Ruskó</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Virtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom</style></title><secondary-title><style face="normal" font="default" size="100%">EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA</style></secondary-title><short-title><style face="normal" font="default" size="100%">EUR SURG-ACA</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">34</style></volume><pages><style face="normal" font="default" size="100%">143 - 149</style></pages><isbn><style face="normal" font="default" size="100%">1682-8631</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Background: CT colonography was found to be sensitive andspecific for detection of colonic polyps and colorectal cancer 
(CRC). Depending on the software used, CT colonography requires 
a certain amount of operator interaction, which limits it's 
widespread usage. The goal of this papers is to present two 
novel automated techniques for displaying CT colonography: 
virtual dissection and automated colonic polyp detection. 
Methods: Virtual dissection refers to a technique where the 
entire colon is virtually stretched and flattened thus 
simulating the view on the pathologist's table. Colonic folds 
show a 'global outward bulging of the contour', whereas colonic 
polyps exhibit the inverse ('local inward bulging'). This 
feature is used to map areas of 'local inward bulging' with 
colours on 3D reconstructions. A cadaveric phantom with 13 
artificially inserted polyps was used for validation of both 
techniques. Results: On virtual dissection all 13 inserted 
polyps could be identified. They appeared either as bumps or as 
local broadening of colonic folds. In addition, the automated 
colonic polyp detection algorithm was able to tag all polyps. 
Only 10 min of operator interaction were necessary for both 
techniques. Conclusions: Virtual dissection overcomes the 
shortcomings of CT colonography, and automated colonic polyp 
detection establishes a roadmap of the polyps.
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">ScopusID: 0037000327doi: 10.1046/j.1563-2563.2002.02018.x</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Eörs Máté</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Virtual Dissection of the Colon</style></title><secondary-title><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők III. Konfereciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">109 - 117</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Anna Vilanova Bartroli</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Sven Lončarić</style></author><author><style face="normal" font="default" size="100%">Marco Subasic</style></author><author><style face="normal" font="default" size="100%">Domagoj Kovacevic</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Davide Caramella</style></author><author><style face="normal" font="default" size="100%">Carlo Bartolozzi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Virtual Dissection of the Colon</style></title><secondary-title><style face="normal" font="default" size="100%">3D Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">New York</style></pub-location><pages><style face="normal" font="default" size="100%">197 - 209</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-642-59438-0_18</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Georg Werkgartner</style></author><author><style face="normal" font="default" size="100%">Ekke Spuller</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Seong Ki Mun</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Virtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">713 - 721</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Virtual dissection refers to a display technique for polypdetection, where the colon is digitally straightened and then 
flattened using multirow detector Computed Tomograph (CT) 
images. As compared to virtual colonoscopy where polyps may be 
hidden from view behind the folds, the unravelled colon is more 
suitable for polyp detection, because the entire inner surface 
of the colon is displayed in a single view. The method was 
tested both on artificial and cadaveric phantoms. All polyps 
could be recognized on both phantoms. This technique for virtual 
dissection requires only a minimum of operator interaction.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0036061143doi: 10.1117/12.466982</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">James S Babb</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Brain atrophy in relapsing-remitting multiple sclerosis: Fractional volumetric analysis of gray matter and white matter</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGY</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">220</style></volume><pages><style face="normal" font="default" size="100%">606 - 610</style></pages><isbn><style face="normal" font="default" size="100%">0033-8419</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: To determine the fractional brain tissue volume changesin the gray matter and white matter of patients with relapsing-
remitting multiple sclerosis (MS) and to correlate these 
measurements with clinical disability and total lesion load. 
MATERIALS AND METHODS: Thirty patients with relapsing-remitting 
MS and 25 healthy control subjects underwent magnetic resonance 
imaging. Fractional brain tissue volumes (tissue volume relative 
to total intracranial volume) were obtained from the total 
segmented gray matter and white matter in each group and were 
analyzed. RESULTS: The fractional volume of white matter versus 
that of gray matter was significantly lower (-6.4%) in patients 
with MS (P &lt;.0001) than in control subjects. Neither gray matter 
nor white matter fractional volume measurements correlated with 
clinical disability in the patients with MS. CONCLUSION: Loss of 
brain parenchymal volume in patients with relapsing-remitting MS 
is predominantly confined to white matter. Analysis of 
fractional brain tissue volumes provides additional information 
useful in characterizing MS and may have potential in evaluating 
treatment strategies.
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">UT: 000170616700008ScopusID: 0034866802doi: 10.1148/radiol.2203001776</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiprotocol MR image segmentation in multiple sclerosis: Experience with over 1,000 studies</style></title><secondary-title><style face="normal" font="default" size="100%">ACADEMIC RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">ACAD RADIOL</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">1116 - 1126</style></pages><isbn><style face="normal" font="default" size="100%">1076-6332</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">RATIONALE AND OBJECTIVES: Multiple sclerosis (MS) is an acquireddisease of the central nervous system. Several clinical measures 
are commonly used to express the severity of the disease, 
including the Expanded Disability Status Scale and the 
ambulation index. These measures are subjective and may be 
difficult to reproduce. The aim of this research is to 
investigate the possibility of developing more objective 
measures derived from MR imaging. MATERIALS AND METHODS: Various 
magnetic resonance (MR) imaging protocols are being investigated 
for the study of MS. Seeking to replace the Expanded Disability 
Status Scale and ambulation index with an objective means to 
assess the natural course of the disease and its response to 
therapy, the authors have developed multiprotocol MR image 
segmentation methods based on fuzzy connectedness to quantify 
both macrosopic features of the disease (lesions, gray matter, 
white matter, cerebrospinal fluid, and brain parenchyma) and the 
microscopic appearance of diseased white matter. Over 1,000 
studies have been processed to date. RESULTS: By far the 
strongest correlations with the clinical measures were 
demonstrated by the magnetization transfer ratio histogram 
parameters obtained for the various segmented tissue regions. 
These findings emphasize the importance of considering the 
microscopic and diffuse nature of the disease in the individual 
tissue regions. Brain parenchymal volume also demonstrated a 
strong correlation with clinical measures, which suggests that 
brain atrophy is an important disease indicator. CONCLUSION: 
Fuzzy connectedness is a viable, highly reproducible 
segmentation method for studying MS.
</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><notes><style face="normal" font="default" size="100%">UT: 000171987900006ScopusID: 0034767131doi: 10.1016/S1076-6332(03)80723-7</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Punam K Saha</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Milan Sonka</style></author><author><style face="normal" font="default" size="100%">Kenneth M Hanson</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Task-specific comparison of 3D image registration methods</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2001: Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">1588 - 1598</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a new class of approaches for rigid-body registrationand their evaluation in studying Multiple Sclerosis via multi 
protocol MRI. Two pairs of rigid-body registration algorithms 
were implemented, using cross- correlation and mutual 
information, operating on original gray-level images and on the 
intermediate images resulting from our new scale-based method. 
In the scale image, every voxel has the local scale value 
assigned to it, defined as the radius of the largest sphere 
centered at the voxel with homogeneous intensities. 3D data of 
the head were acquired from 10 MS patients using 6 MRI 
protocols. Images in some of the protocols have been acquired in 
registration. The co-registered pairs were used as ground truth. 
Accuracy and consistency of the 4 registration methods were 
measured within and between protocols for known amounts of 
misregistrations. Our analysis indicates that there is no best 
method. For medium and large misregistration, methods using 
mutual information, for small misregistration, and for the 
consistency tests, correlation methods using the original gray-
level images give the best results. We have previously 
demonstrated the use of local scale information in fuzzy 
connectedness segmentation and image filtering. Scale may also 
have considerable potential for image registration as suggested 
by this work.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0034843423doi: 10.1117/12.431044</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erich Sorantin</style></author><author><style face="normal" font="default" size="100%">Emese Balogh</style></author><author><style face="normal" font="default" size="100%">Anna Vilanova Bartroli</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Sven Lončarić</style></author><author><style face="normal" font="default" size="100%">Hrvoje Babic</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done?</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">224 - 229</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Colorectal cancer is the third most commonly diagnosed cancer;and colonic polyps are known precursors of that particular 
cancer. Virtual dissection refers to a display technique for 
polyp detection based on helical CT data, where the colon is 
dissected and flattened as on the pathologist's table. The 
approach and image processing as well as the early experience 
are described in this paper.
</style></abstract><notes><style face="normal" font="default" size="100%">doi: 10.1109/ISPA.2001.938632</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">James S Babb</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: A Fractional Volumetric Analysis of Gray Matter and White Matter</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Alexandre X. Falcao</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kenneth M Hanson</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy-connected 3D image segmentation at interactive speeds</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2000: Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">212 - 223</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Image segmentation techniques using fuzzy connectednessprinciples have shown their effectiveness in segmenting a 
variety of objects in several large applications in recent 
years. However, one problem with these algorithms has been their 
excessive computational requirements. In an attempt to 
substantially speed them up, in the present paper, we study 
systematically a host of 18 algorithms under two categories -- 
label correcting and label setting. Extensive testing of these 
algorithms on a variety of 3D medical images taken from large 
ongoing applications demonstrates that a 20 - 360 fold 
improvement over current speeds is achievable with a combination 
of algorithms and fast modern PCs. The reliable recognition 
(assisted by human operators) and the accurate, efficient, and 
sophisticated delineation (automatically performed by the 
computer) can be effectively incorporated into a single 
interactive process. If images having intensities with tissue 
specific meaning (such as CT or standardized MR images) are 
utilized, all parameters for the segmentation method can be 
fixed once for all, all intermediate data can be computed before 
the user interaction is needed, and the user can be provided 
with more information at the time of interaction.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0033687148doi: 10.1117/12.387681</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">James S Babb</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author><author><style face="normal" font="default" size="100%">Lois J Mannon</style></author><author><style face="normal" font="default" size="100%">Joseph C McGowan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Magnetization Transfer Ratio Histogram Analysis of Normal Appearing Gray Matter and White Matter in MS</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MR image analysis in multiple sclerosis</style></title><secondary-title><style face="normal" font="default" size="100%">NEUROIMAGING CLINICS OF NORTH AMERICA</style></secondary-title><short-title><style face="normal" font="default" size="100%">NEUROIMAG CLIN N AM</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">799 - 815</style></pages><isbn><style face="normal" font="default" size="100%">1052-5149</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">MR imaging is the ubiquitous imaging modality used for studyingmultiple sclerosis (MS). A variety of MR imaging protocols, 
including T2, spin density, T1-weighted, with and without 
gadolinium, and magnetization transfer imaging, have been used 
in studying MS. This article provides an overview of the 
techniques recently developed for quantifying the extent of MS 
through the application of MR imaging.
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><notes><style face="normal" font="default" size="100%">UT: 000168611300013ScopusID: 0034447740</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MR Image Analysis in Multiple Sclerosis</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Isabelle Catalaa</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Xuan Zhang</style></author><author><style face="normal" font="default" size="100%">Marcia Polansky</style></author><author><style face="normal" font="default" size="100%">Lois J Mannon</style></author><author><style face="normal" font="default" size="100%">Joseph C McGowan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple sclerosis: Magnetization transfer histogram analysis of segmented normal-appearing white matter</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGY</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">216</style></volume><pages><style face="normal" font="default" size="100%">351 - 355</style></pages><isbn><style face="normal" font="default" size="100%">0033-8419</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: To investigate and characterize the global distributionof magnetization transfer (MT) ratio values of normal-appearing 
white matter (NAWM) in patients with relapsing-remitting 
multiple sclerosis (MS) and test the hypothesis that the MT 
histogram for NAWM reflects disease progression. MATERIALS AND 
METHODS: Conventional and MT magnetic resonance (MR) images were 
obtained in 23 patients and 25 healthy volunteers. Clinical 
tests for comparison with the MT histogram parameters included 
the Extended Disability Status Scale and the ambulation index. 
Lesion load calculated with T2-weighted MR images and whole-
brain and white matter volumes were measured. RESULTS: The 
location of the MT histogram peak and the mean MT ratio for NAWM 
were significantly lower in patients with MS than in control 
subjects. In longitudinal studies, the histogram peak location 
and mean MT ratio shifted in the direction of normal values as 
the duration of disease increased. A mean of 26.5% of the volume 
of new lesions identified on the later studies were demonstrated 
to have originated in NAWM corresponding to &quot;lost&quot; pixels on the 
histogram. CONCLUSION: MT histogram analysis of NAWM, including 
longitudinal analysis, may provide new prognostic information 
regarding lesion formation and increase understanding of the 
course of the disease.
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">UT: 000088430800008ScopusID: 0033894599</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kenneth M Hanson</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiprotocol MR image segmentation in multiple sclerosis: experience with over 1000 studies</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2000: Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">1017 - 1027</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Multiple Sclerosis (MS) is an acquired disease of the centralnervous system. Subjective cognitive and ambulatory test scores 
on a scale called EDSS are currently utilized to assess the 
disease severity. Various MRI protocols are being investigated 
to study the disease based on how it manifests itself in the 
images. In an attempt to eventually replace EDSS by an objective 
measure to assess the natural course of the disease and its 
response to therapy, we have developed image segmentation 
methods based on fuzzy connectedness to quantify various objects 
in multiprotocol MRI. These include the macroscopic objects such 
as lesions, the gray matter (GM), white matter (WM), 
cerebrospinal fluid (CSF), and brain parenchyma as well as the 
microscopic aspects of the diseased WM. Over 1000 studies have 
been processed to date. By far the strongest correlations with 
the clinical measures were demonstrated by the Magnetization 
Transfer Ratio (MTR) histogram parameters obtained for the 
various segmented tissue regions emphasizing the importance of 
considering the microscopic/diffused nature of the disease in 
the individual tissue regions. Brain parenchymal volume also 
demonstrated a strong correlation with the clinical measures 
indicating that brain atrophy is an important indicator of the 
disease. Fuzzy connectedness is a viable segmentation method for 
studying MS.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0033721228doi: 10.1117/12.387606</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Xuan Zhang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New variants of a method of MRI scale standardization</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE TRANSACTIONS ON MEDICAL IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">IEEE T MED IMAGING</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">143 - 150</style></pages><isbn><style face="normal" font="default" size="100%">0278-0062</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">One of the major drawbacks of magnetic resonance imaging (MRI)has been the lack of a standard and quantifiable interpretation 
of image intensities. Unlike in other modalities, such as X-ray 
computerized tomography, MR images taken for the same patient on 
the same scanner at different times may appear different from 
each other due to a variety of scanner-dependent variations and, 
therefore, the absolute intensity values do not have a fixed 
meaning. We have devised a two-step method wherein all images 
(independent of patients and the specific brand of the MR 
scanner used) can be transformed in such a way that for the same 
protocol and body region, in the transformed images similar 
intensities will have similar tissue meaning. Standardized 
images can be displayed with fixed windows without the need of 
per-case adjustment. More importantly, extraction of 
quantitative information about healthy organs or about 
abnormalities can be considerably simplified. This paper 
introduces and compares new variants of this standardizing 
method that can help to overcome some of the problems with the 
original method.
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">UT: 000086614000007ScopusID: 0033624997doi: 10.1109/42.836373</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Numerical tissue characterization in MS via standardization of the MR image intensity scale</style></title><secondary-title><style face="normal" font="default" size="100%">JOURNAL OF MAGNETIC RESONANCE IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">JMRI - J MAGN RESON IM</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">715 - 721</style></pages><isbn><style face="normal" font="default" size="100%">1053-1807</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Image intensity standardization is a recently developedpostprocessing method that is capable of correcting the signal 
intensity variations in MR images. We evaluated signal intensity 
of healthy and diseased tissues in 10 multiple sclerosis (MS) 
patients based on standardized dual fast spin-echo MR images 
using a numerical postprocessing technique. The main idea of 
this technique is to deform the volume image histogram of each 
study to match a standard histogram and to utilize the resulting 
transformation to map the image intensities into standard scale. 
Upon standardization, the coefficients of variation of signal 
intensities for each segmented tissue (gray matter, white 
matter, lesion plaques, and diffuse abnormal white matter) in 
all patients were significantly smaller (2.3-9.2 times) than in 
the original images, and the same tissues from different 
patients looked alike, with similar intensity characteristics. 
Numerical tissue characterizability of different tissues in MS 
achieved by standardization offers a fixed tissue-specific 
meaning for the numerical values and can significantly 
facilitate image segmentation and analysis.
</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><notes><style face="normal" font="default" size="100%">UT: 000171295400008ScopusID: 0033754689doi: 10.1002/1522-2586(200011)12:5&amp;lt;715::AID-JMRI8&amp;gt;3.0.CO;2-D</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Numerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale</style></title><secondary-title><style face="normal" font="default" size="100%">International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Apr 2000</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Berkeley</style></pub-location><pages><style face="normal" font="default" size="100%">579</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tibor Csendes</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Standardizing the MR Image Intensity Scale and Its Applications</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">July 2000</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">József Attila Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><volume><style face="normal" font="default" size="100%">Volume of extended abstracts</style></volume><pages><style face="normal" font="default" size="100%">75</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Seong Ki Mun</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Standardizing the MR image intensity scales: making MR intensities have tissue-specific meaning</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 2000: Image Display and Visualization</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">496 - 504</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">One of the major drawbacks of Magnetic Resonance Imaging (MRI)has been the lack of a standard and quantifiable interpretation 
of image intensities. Unlike in other modalities such as x-ray 
computerized tomography, MR images taken for the same patient on 
the same scanner at different times may appear different from 
each other due to a variety of scanner-dependent variations, and 
therefore, the absolute intensity values do not have a fixed 
meaning. We have devised a two-step method wherein all images 
can be transformed in such a way that for the same protocol and 
body region, in the transformed images similar intensities will 
have similar tissue meaning. Standardized images can be 
displayed with fixed windows without the need of per case 
adjustment. More importantly, extraction of quantitative 
information with fixed windows without the need of per case 
adjustment. More importantly, extraction of quantitative 
information about healthy organs or about abnormalities can be 
considerably simplified. This paper introduces and compares new 
variants of this standardizing method that can help to overcome 
some of the problems with the original method.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0033745402doi: 10.1117/12.383076</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Szegedi Tudományegyetem orvosi képarchiváló és továbbító szoftver rendszere</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2000</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2000</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">115</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szegedi Tudományegyetem orvosi képarchiváló és -továbbítórendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A célunk egy olyan számítógépes hálózati alkalmazás elkészítése volt, amely nemcsak a klinikai vizsgálatok képeinek átvitelével és tárolásával kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységeket is.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Szegedi Tudományegyetem orvosi képarchiváló és továbbító szoftver rendszere</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2000</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2000</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">115</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szegedi Tudományegyetem orvosi képarchiváló és -továbbítórendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A célunk egy olyan számítógépes hálózati alkalmazás elkészítése volt, amely nemcsak a klinikai vizsgálatok képeinek átvitelével és tárolásával kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységeket is.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">James S Babb</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joseph C McGowan</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%"></style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Tissue Characterization in Relapsing-remitting and Secondary-progressive MS via Magnetization Transfer Ratio</style></title><secondary-title><style face="normal" font="default" size="100%">International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Apr 2000</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Berkeley</style></pub-location><pages><style face="normal" font="default" size="100%">1189</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Seong Ki Mun</style></author><author><style face="normal" font="default" size="100%">Yongmin Kim</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Approach to standardizing MR image intensity scale</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Imaging 1999: Image Display</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPIE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bellingham; Washington</style></pub-location><pages><style face="normal" font="default" size="100%">595 - 603</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Despite the many advantages of MR images, they lack a standardimage intensity scale. MR image intensity ranges and the meaning 
of intensity values vary even for the same protocol (P) and the 
same body region (D). This causes many difficulties in image 
display and analysis. We propose a two-step method for 
standardizing the intensity scale in such a way that for the 
same P and D, similar intensities will have similar meanings. In 
the first step, the parameters of the standardizing 
transformation are 'learned' from an image set. In the second 
step, for each MR study, these parameters are used to map their 
histogram into the standardized histogram. The method was tested 
quantitatively on 90 whole brain FSE T2, PD and T1 studies of MS 
patients and qualitatively on several other SE PD, T2 and SPGR 
studies of the grain and foot. Measurements using mean squared 
difference showed that the standardized image intensities have 
statistically significantly more consistent range and meaning 
than the originals. Fixed windows can be established for 
standardized imags and used for display without the need of per 
case adjustment. Preliminary results also indicate that the 
method facilitates improving the degree of automation of image 
segmentation.
</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0032677406doi: 10.1117/12.349472</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Alexandre X. Falcao</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Connected 3D Object Segmentation at Interactive Speeds</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Damir Kalpic</style></author><author><style face="normal" font="default" size="100%">Vesna Hljuz Dobrić</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information Technology Interfaces (ITI)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1999</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">305 - 310</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a joint software development between the JózsefAttila University and the Albert Szent-Györgyi Medical University of Szeged for archiving and transferring medical studies. The system is able to collect medical studies from different imaging modalities and store them studies in common standard DICOM format in a central oracle database. There is an end user application that allows searching for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. Due to the limited storage space available, efforts have been made to utilized image compression techniques in order to increase the amount of image data that can be stored in the archive. The achieved results and some of the problems related to this task will be presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Damir Kalpic</style></author><author><style face="normal" font="default" size="100%">Vesna Hljuz Dobrić</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information Technology Interfaces (ITI)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1999</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">305 - 310</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a joint software development between the JózsefAttila University and the Albert Szent-Györgyi Medical University of Szeged for archiving and transferring medical studies. The system is able to collect medical studies from different imaging modalities and store them studies in common standard DICOM format in a central oracle database. There is an end user application that allows searching for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. Due to the limited storage space available, efforts have been made to utilized image compression techniques in order to increase the amount of image data that can be stored in the archive. The achieved results and some of the problems related to this task will be presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Isabelle Catalaa</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Xuan Zhang</style></author><author><style face="normal" font="default" size="100%">Marcia Polansky</style></author><author><style face="normal" font="default" size="100%">Lois J Mannon</style></author><author><style face="normal" font="default" size="100%">Joseph C McGowan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Magnetization Transfer Histogram Analysis of Segmented Normal- Appearing White Matter in Multiple Sclerosis</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Isabelle Catalaa</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author><author><style face="normal" font="default" size="100%">Dennis L Kolson</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Marcia Polansky</style></author><author><style face="normal" font="default" size="100%">Joseph C McGowan</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">*[International Society fo *Medicine]</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Magnetization Transfer Histogram Analysis of Segmented Normal-Appearing White Matter in Multiple Sclerosis</style></title><secondary-title><style face="normal" font="default" size="100%">International Society for Magnetic Resonance in Medicine: Seventh Scientific Meeting and Exhibition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 1999</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Berkeley</style></pub-location><pages><style face="normal" font="default" size="100%">957</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New variants of a method of MRI scale normalization</style></title><secondary-title><style face="normal" font="default" size="100%">LECTURE NOTES IN COMPUTER SCIENCE</style></secondary-title><short-title><style face="normal" font="default" size="100%">LECT NOTES COMPUT SCI</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">1613</style></volume><pages><style face="normal" font="default" size="100%">490 - 495</style></pages><isbn><style face="normal" font="default" size="100%">0302-9743</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">One of the major drawbacks of Magnetic Resonance Imaging (MRI)has been the lack of a standard and quantifiable interpretation 
of image intensities. This causes many difficulties in image 
display and analysis. We have devised a two-step method wherein 
all images can be transformed in such a way that for the same 
protocol and body region, in the transformed images similar 
intensities will have similar tissue meaning. Normalized images 
can be displayed with fixed windows without the need of per case 
adjustment. More importantly, extraction of quantitative 
information about healthy organs or about abnormities, such as 
tumors, can considerably be simplified. This paper introduces 
and compares new variants of this normalization method that can 
help to overcome some of the problems with the original method.
</style></abstract><notes><style face="normal" font="default" size="100%">UT: 000170515200051doi: 10.1007/3-540-48714-X_51In: Kuba A; Samal M; Todd-Pokropek A (szerk.)Information Processing in Medical Imaging: 16th International 
Conference, IPMI'99, Visegrád, Hungary, June/July 1999. 
Proceedings.
508 p.
Visegrád, Magyarország, 1999.06.28-1999.07.02.
Berlin; Heidelberg: Springer-Verlag, 1999. pp. 490-495.
(Lecture Notes in Computer Science; 1613.)
(ISBN:3-540-66167-0)
http://link.springer.com/book/10.1007/3-540-48714-X/page/1
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">Xuan Zhang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New Variants of a Method of MRI Scale Standardization</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yiyue Ge</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Lougang Wei</style></author><author><style face="normal" font="default" size="100%">Robert J Grossman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Numerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On Standardizing the MR Image Intensity Scale</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On standardizing the MR image intensity scale</style></title><secondary-title><style face="normal" font="default" size="100%">MAGNETIC RESONANCE IN MEDICINE</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGN RESON MED</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">1072 - 1081</style></pages><isbn><style face="normal" font="default" size="100%">0740-3194</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The lack of a standard image intensity scale in MRI causes manydifficulties in image display and analysis. A two-step 
postprocessing method is proposed for standardizing the 
intensity scale in such a way that for the same MR protocol and 
body region, similar intensities will have similar tissue 
meaning. In the first step, the parameters of the standardizing 
transformation are &quot;learned&quot; from a set of images. In the second 
step, for each MR study these parameters are used to map their 
histogram into the standardized histogram. The method was tested 
quantitatively on 90 whole-brain studies of multiple sclerosis 
patients for several protocols and qualitatively for several 
other protocols and body regions. Measurements using mean 
squared difference showed that the standardized image 
intensities have statistically significantly (P &lt; 0.01) more 
consistent range and meaning than the originals. Fixed gray 
level windows can be established for the standardized images and 
used for display without the need of per case adjustment. 
Preliminary results also indicate that the method facilitates 
improving the degree of automation of image segmentation. Magn 
Reson Med 42:1072-1081, 1999.
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><notes><style face="normal" font="default" size="100%">UT: 000083959300011doi: 10.1002/(SICI)1522-2594(199912)42:6&amp;lt;1072::AID-MRM11&amp;gt;3.0.CO;2-M</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Juha Kivijarvi</style></author><author><style face="normal" font="default" size="100%">Tamás Ojala</style></author><author><style face="normal" font="default" size="100%">Timo Kaukoranta</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Olli Nevalainen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A comparison of lossless compression methods for medical images</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTERIZED MEDICAL IMAGING AND GRAPHICS</style></secondary-title><short-title><style face="normal" font="default" size="100%">COMPUT MED IMAG GRAP</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">323 - 339</style></pages><isbn><style face="normal" font="default" size="100%">0895-6111</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this work, lossless grayscale image compression methods arecompared on a medical image database. The database contains 10 
different types of images with bit rates varying from 8 to 16 
bits per pixel. The total number of test images was about 3000, 
originating from 125 different patient studies. Methods used for 
compressing the images include seven methods designed for 
grayscale images and 18 ordinary general-purpose compression 
programs. Furthermore, four compressed image file formats were 
used. The results show that the compression ratios strongly 
depend on the type of the image. The best methods turned out to 
be TMW, CALIC and JPEG-LS. The analysis step in TMW is very 
time-consuming. CALIC gives high compression ratios in a 
reasonable time, whereas JPEG-LS is nearly as effective and very 
fast.
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><notes><style face="normal" font="default" size="100%">UT: 000076981400007ScopusID: 0344110480doi: 10.1016/S0895-6111(98)00042-1</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Juha Kivijarvi</style></author><author><style face="normal" font="default" size="100%">Tamás Ojala</style></author><author><style face="normal" font="default" size="100%">Timo Kaukoranta</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Olli Nevalainen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Comparison of Lossless Compression Methods in the Case of a Medical Image Database</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experience with the SZOTE PACS Starting Operations</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">68</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Introduction: During the last four years a Picture Archiving andCommunication System (PACS) has been developed in the University mainly for educational purposes. The original intention was to use the system as a non-stop routine PACS, so the images of the modalities of the system should be available to the workstations connected to the University network at the different clinics. Material and method: Two CTs, one MR, one ultrasound, three fluoroscopy devices, two SPECTs, two gamma cameras and one X-ray film scanner have been connected to the computer network at SZOTE. One Silicon Graphics Challenge DM central image server collects the images and related data. The picture archiving and communication is DICOM conform. An ORACLE data management system facilitates the data retrieval. Step by step testing of the operation of the system began with the transport, conversion and archiving of images of two CTs, one MR and one SPECT: Results: The daily archiving of about 5000 images on 80-100 patients gradually demonstrated the slight incompatibility of DICOM or Interfile of the image modalities or converter stations and the minor shortcomings of the software. Three educational cabinets have been installed, in which the practical teaching of radiology has been performed since 1996. Discussion/conclusion: Full automatization is necessary for handling such huge amount of images. For this the PACS and RIS/HIS connection was needed which was successed as well.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experience with the SZOTE PACS Starting Operations</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">68</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Introduction: During the last four years a Picture Archiving andCommunication System (PACS) has been developed in the University mainly for educational purposes. The original intention was to use the system as a non-stop routine PACS, so the images of the modalities of the system should be available to the workstations connected to the University network at the different clinics. Material and method: Two CTs, one MR, one ultrasound, three fluoroscopy devices, two SPECTs, two gamma cameras and one X-ray film scanner have been connected to the computer network at SZOTE. One Silicon Graphics Challenge DM central image server collects the images and related data. The picture archiving and communication is DICOM conform. An ORACLE data management system facilitates the data retrieval. Step by step testing of the operation of the system began with the transport, conversion and archiving of images of two CTs, one MR and one SPECT: Results: The daily archiving of about 5000 images on 80-100 patients gradually demonstrated the slight incompatibility of DICOM or Interfile of the image modalities or converter stations and the minor shortcomings of the software. Three educational cabinets have been installed, in which the practical teaching of radiology has been performed since 1996. Discussion/conclusion: Full automatization is necessary for handling such huge amount of images. For this the PACS and RIS/HIS connection was needed which was successed as well.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joaquim Piqueras</style></author><author><style face="normal" font="default" size="100%">Joan-Carles Carreno</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Experience with the SZOTE-PACS Starting Operations</style></title><secondary-title><style face="normal" font="default" size="100%">EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1998</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Barcelona</style></pub-location><pages><style face="normal" font="default" size="100%">43 - 44</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joaquim Piqueras</style></author><author><style face="normal" font="default" size="100%">Joan-Carles Carreno</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Experience with the SZOTE-PACS Starting Operations</style></title><secondary-title><style face="normal" font="default" size="100%">EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1998</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Barcelona</style></pub-location><pages><style face="normal" font="default" size="100%">43 - 44</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Presentation in the SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">56</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The SZOTE Picture Archiving and Communication System (SZOTEPACS) is used for: - teaching graduate and postgraduate students - picture archiving for scientific purposes - archiving and consulting data from radiological and nuclear medicine examinations In order to implement these tasks, archiving is not enough; it is also necessary to display images in various clinics and departments. On the basis of the cost/benefit principle, after an appropriate selection, Silicon Graphics workstations (Indy Modeler R5000PC microprocessor, 32 MB RM, 1 GB disc, 17”/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17” GoldStar 78i color monitor) were implemented into the system. The problem of a relatively easy and fast search in the PACS image database is solved, if access is granted. The images are transferred to the workstations (viewing stations) in DICOM 3.0 format. The images processing program OSIRIS is suitable for the processing of images in DICOM format. The resolution of the viewing station display is: Silicon Graphics 1280 x 1024 x 8 bit; Albacom 1600 x 1200 x 8 bit. For the matrix specified above, the 256 grey scale is suitable for display of the chosen images in good quality, consultation with clinicians, and the comparison of control examinations with previous ones.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Presentation in the SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">56</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The SZOTE Picture Archiving and Communication System (SZOTEPACS) is used for: - teaching graduate and postgraduate students - picture archiving for scientific purposes - archiving and consulting data from radiological and nuclear medicine examinations In order to implement these tasks, archiving is not enough; it is also necessary to display images in various clinics and departments. On the basis of the cost/benefit principle, after an appropriate selection, Silicon Graphics workstations (Indy Modeler R5000PC microprocessor, 32 MB RM, 1 GB disc, 17”/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17” GoldStar 78i color monitor) were implemented into the system. The problem of a relatively easy and fast search in the PACS image database is solved, if access is granted. The images are transferred to the workstations (viewing stations) in DICOM 3.0 format. The images processing program OSIRIS is suitable for the processing of images in DICOM format. The resolution of the viewing station display is: Silicon Graphics 1280 x 1024 x 8 bit; Albacom 1600 x 1200 x 8 bit. For the matrix specified above, the 256 grey scale is suitable for display of the chosen images in good quality, consultation with clinicians, and the comparison of control examinations with previous ones.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Olli Nevalainen</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joaquim Piqueras</style></author><author><style face="normal" font="default" size="100%">Joan-Carles Carreno</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Lossless Image Compression in SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">16th EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">*</style></publisher><pub-location><style face="normal" font="default" size="100%">Barcelona</style></pub-location><pages><style face="normal" font="default" size="100%">95 - 98</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Olli Nevalainen</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Joaquim Piqueras</style></author><author><style face="normal" font="default" size="100%">Joan-Carles Carreno</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Lossless Image Compression in SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">16th EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">*</style></publisher><pub-location><style face="normal" font="default" size="100%">Barcelona</style></pub-location><pages><style face="normal" font="default" size="100%">95 - 98</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Software Development of Medical Image Archiving System</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">July 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">József Attila Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><volume><style face="normal" font="default" size="100%">Volume of Extended Abstracts</style></volume><pages><style face="normal" font="default" size="100%">79</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Software Development of Medical Image Archiving System</style></title><secondary-title><style face="normal" font="default" size="100%">Conference of PhD Students in Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">July 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">József Attila Tudományegyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><volume><style face="normal" font="default" size="100%">Volume of Extended Abstracts</style></volume><pages><style face="normal" font="default" size="100%">79</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">55</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS has been developed since 1995. The aim was to collectdigital images produced by existing and new medical imaging modalities which are placed in different buildings. After collection the images are transmitted and built in to a central database. From the images database the PACS users are able to query study data and images easily. The software system consists of three main type of clients: the admitting, the server and the viewing subsystems taking into account the local circumstances. The images produced by the modalities go to the admitting stations. The studies that are not in DICOM format (Interfile, ACR-NEMA 2.0) are converted to DICOM. All studies are sent to the PACSW server in DICOM format. The images are managed by an Oracle Database Se3rver on the PACWS server. The end users are able to query the data by SQL at the viewing stations. The SZOTE-PACS system provides an efficient PACS for physicians, medical doctors and students. It can be used for making educational material, scientific work and diagnosis as well. The completed parts, the process of the working and the plan of the future development of this software system will be presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">55</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS has been developed since 1995. The aim was to collectdigital images produced by existing and new medical imaging modalities which are placed in different buildings. After collection the images are transmitted and built in to a central database. From the images database the PACS users are able to query study data and images easily. The software system consists of three main type of clients: the admitting, the server and the viewing subsystems taking into account the local circumstances. The images produced by the modalities go to the admitting stations. The studies that are not in DICOM format (Interfile, ACR-NEMA 2.0) are converted to DICOM. All studies are sent to the PACSW server in DICOM format. The images are managed by an Oracle Database Se3rver on the PACWS server. The end users are able to query the data by SQL at the viewing stations. The SZOTE-PACS system provides an efficient PACS for physicians, medical doctors and students. It can be used for making educational material, scientific work and diagnosis as well. The completed parts, the process of the working and the plan of the future development of this software system will be presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Damir Kalpic</style></author><author><style face="normal" font="default" size="100%">Vesna Hljuz Dobrić</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Software System of the Picture Archiving and Communication System in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information Technology Interfaces (ITI)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">183 - 187</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a joint software development for archiving andtransferring medical studies of the József Attila University and the Albert Szent-Györgyi Medical University of Szeged. The system is able to collect medical studies from different imaging modalities and store those studies in common standardised DICOM format in a central Oracle database. There is an end user application that can search for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. SZOTE-PACS also supports the creation and presentation of educational material for medical students.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Damir Kalpic</style></author><author><style face="normal" font="default" size="100%">Vesna Hljuz Dobrić</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Software System of the Picture Archiving and Communication System in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information Technology Interfaces (ITI)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998.06.16</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">183 - 187</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a joint software development for archiving andtransferring medical studies of the József Attila University and the Albert Szent-Györgyi Medical University of Szeged. The system is able to collect medical studies from different imaging modalities and store those studies in common standardised DICOM format in a central Oracle database. There is an end user application that can search for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. SZOTE-PACS also supports the creation and presentation of educational material for medical students.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On Standardizing the MR Image Intensity Scale</style></title><secondary-title><style face="normal" font="default" size="100%">RADIOLOGY</style></secondary-title><short-title><style face="normal" font="default" size="100%">RADIOLOGY</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">209</style></volume><pages><style face="normal" font="default" size="100%">581 - 582</style></pages><isbn><style face="normal" font="default" size="100%">0033-8419</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">PURPOSE: MR image intensities have varying ranges and meaningeven for the same protocol (P) and body region (D). This causes 
many difficulties in image display and analysis. This exhibit 
describes a method of standardizing the intensity scale, so that 
for the same P and D, similar intensities will have similar 
meaning.
MATERIALS AND METHODS: In the TRAINING phase (done only once for 
a given P and D), the parameters of the standardizing 
transformation are &quot;learnt&quot; from an image set. In the MAPPING 
phase, done for each MR study, these parameters are utilized to 
determine the mapping needed to deform its histogram into the 
standardized histogram. The method was tested quantitatively on 
90 brain FSE T2, PD and T1 studies of MS patients and 
qualitatively on an additional 15 SE PD, T1 and SPGR studies of 
the brain and foot.
RESULTS: As measured by mean squared difference, standardized 
images have statistically significantly (p&lt;0.01) more consistent 
range and meaning than those without. Fixed windows that do not 
require per study adjustment can be established for the 
standardized images.
CONCLUSIONS: Standardizing MR intensity scales to overcome the 
difficulties due to widely varying intensity meaning is feasible 
by protocol and body region. This can be implemented in a PACS 
via DICOM value of interest look up tables.
</style></abstract><issue><style face="normal" font="default" size="100%">SUPPL P</style></issue><notes><style face="normal" font="default" size="100%">84th Scientific Assembly and Annual Meeting of the RadiologicalSociety of North America (RSNA)
Chicago, IL, USA, 1998.11.29-1998.12.04.
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">János Jánosi</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Structure of the SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">67</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Introduction: The progress in computer techniques has resultedin the digital archivation and transport of images of radiology and nuclear medicine without loss of information. The images and image series produced by various image modalities are converted to a uniform image format, which provides their interconnectivity and interoperability. The image transport is very important at hospitals comprising pavilion systems. Material and method: Through the computer network of the SZOTE Picture Archiving and Communication System (SZOTE PACS) serves the radiology education with the aid of computer displays. Result: ATM network devices allow the fast transfer of images. Silicon Graphics and PC viewing stations provide fast image processing and presentation. Use of the DICOM standards in SZOTE PACS permits the development of teleradiology services. Discussion: The hardware structure and the parameters of the system will be presented in detail. The PACS is connected to the Radiology Information System of the Department of Radiology and the Department of Nuclear Medicine. Conclusion: This makes automatic image archiving possible. The system is user-friendly: it can be handled with minimum computer knowledge. A group has been established at the University to perform the PACS management.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">János Jánosi</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Structure of the SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Radiológusok Társasága XIX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Magyar Radiológus Társaság</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">67</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Introduction: The progress in computer techniques has resultedin the digital archivation and transport of images of radiology and nuclear medicine without loss of information. The images and image series produced by various image modalities are converted to a uniform image format, which provides their interconnectivity and interoperability. The image transport is very important at hospitals comprising pavilion systems. Material and method: Through the computer network of the SZOTE Picture Archiving and Communication System (SZOTE PACS) serves the radiology education with the aid of computer displays. Result: ATM network devices allow the fast transfer of images. Silicon Graphics and PC viewing stations provide fast image processing and presentation. Use of the DICOM standards in SZOTE PACS permits the development of teleradiology services. Discussion: The hardware structure and the parameters of the system will be presented in detail. The PACS is connected to the Radiology Information System of the Department of Radiology and the Department of Nuclear Medicine. Conclusion: This makes automatic image archiving possible. The system is user-friendly: it can be handled with minimum computer knowledge. A group has been established at the University to perform the PACS management.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author><author><style face="normal" font="default" size="100%">K Szakolczai</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Tapasztalatok a DICOM szabvánnyal a SZOTE-PACS-ban</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XXI. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">71 - 73</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;1995-ben, amikor a SZOTE-PACS fejlesztése elkezdődött, a DICOMszabványt választottuk, mint közös file formátumot a vizsgálati képek átvitelére. Ebben a cikkben a DICOM-mal kapcsolatos problémáinkat és a megoldásokat fogjuk ismertetni. Tapasztalataink szerint a problémák nagy része a szabványnak a szoftver-gyártók által hibás vagy hiányos megvalósításával magyarázható. Kis változtatások után az adatátvitel különböző rendszerek és modalitások között általában sikeres volt. A szabványt ellenőrző általunk fejlesztett eszközök nagyban segítették a munkánkat ebben. Külön kitérünk a rendszerben használt automatikus műveletek ismertetésére és ezek továbbfejlesztésére.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author><author><style face="normal" font="default" size="100%">K Szakolczai</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Tapasztalatok a DICOM szabvánnyal a SZOTE-PACS-ban</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XXI. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1998</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">71 - 73</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;1995-ben, amikor a SZOTE-PACS fejlesztése elkezdődött, a DICOMszabványt választottuk, mint közös file formátumot a vizsgálati képek átvitelére. Ebben a cikkben a DICOM-mal kapcsolatos problémáinkat és a megoldásokat fogjuk ismertetni. Tapasztalataink szerint a problémák nagy része a szabványnak a szoftver-gyártók által hibás vagy hiányos megvalósításával magyarázható. Kis változtatások után az adatátvitel különböző rendszerek és modalitások között általában sikeres volt. A szabványt ellenőrző általunk fejlesztett eszközök nagyban segítették a munkánkat ebben. Külön kitérünk a rendszerben használt automatikus műveletek ismertetésére és ezek továbbfejlesztésére.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gábor Bánfi</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author><author><style face="normal" font="default" size="100%">József Berke</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Adatvédelem és jogosultság a SZOTE képarchiváló és továbbító rendszerébenMagyar Képfeldolgozók és Alakfelismerők Országos Konferenciája</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 1997</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">186 - 188</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Egy tervet ismertetünk, amellyel orvosi képarchiváló- éstovábbító rendszerek adatvédelme és jogosultsága biztosítható nyilvános számítógépes hálózatok esetén is. A védelem azon alapszik, hogy a hálózatba küldött üzeneteket a DICOM protokoll megfelelő szintjén küdoljuk. A jogosultság ellenőrzését pedig egy új, a DICOM protokollba beépített parancs-pár teszi lehetővé.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gábor Bánfi</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author><author><style face="normal" font="default" size="100%">József Berke</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Adatvédelem és jogosultság a SZOTE képarchiváló és továbbító rendszerében</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 1997</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">186 - 188</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Egy tervet ismertetünk, amellyel orvosi képarchiváló- éstovábbító rendszerek adatvédelme és jogosultsága biztosítható nyilvános számítógépes hálózatok esetén is. A védelem azon alapszik, hogy a hálózatba küldött üzeneteket a DICOM protokoll megfelelő szintjén küdoljuk. A jogosultság ellenőrzését pedig egy új, a DICOM protokollba beépített parancs-pár teszi lehetővé.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Moduláris DICOM-alapú kép-archiváló és -továbbító rendszer a SZOTE-n</style></title><secondary-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">71</style></volume><pages><style face="normal" font="default" size="100%">6</style></pages><isbn><style face="normal" font="default" size="100%">0025-0287</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Többéves fejlesztési munka eredményeként elkészült a SZOTE kép-archiváló és -továbbító rendszere, a SZOTE-PACS (Picture 
Archiving and Communication Systems - PACS). Olyan rendszert 
készítettünk, amely csaknem valamennyi modalitásról képes 
vizsgálatokat begyűjteni, azokat szabványos DICOm formára 
átkonvertálni, a központi szerverre átküldeni, ott archiválni és 
a különböző megjelenítő és feldolgozó állomásokról igényelt 
vizsgálatokat az Archívumból kiadni. A SZOTE-PACS többféle 
számítógépes platformon (UNIX, PC, Amiga) képes működni. 
Egységes grafikus felhasználói felület segíti a felhasználók 
munkáját. A moduláris felépítés lehetővé teszi, hogy a különféle 
alrendszerek onállóan végezzenek el feladatokat (pl. adatgyűjtés 
és -konverzió, archiválás, feldolgozás és megjelenítés). Az 
Archívumban való keresést Oracle adatbáziskezelő segíti. 
Ugyancsak az Oracle segítségével oldottuk meg az Archívum 
adatvédelmét azáltal, hogy csak a megfelelő jogosultsággal 
rendelkező felhasználók férhetnek hozzá az Archívum számukra 
engedélyezett részéhez. A SZOTE-PACS támogatja a demonstrációs 
(oktatási, kutatási) anyagok készítését azáltal, hogy a 
vizsgálatok (képek, szövegek, numerikus adatok) HTML formátumú 
kivitelét is lehetővé teszi.
</style></abstract><issue><style face="normal" font="default" size="100%">SUPPL 1</style></issue><notes><style face="normal" font="default" size="100%">A Magyar Orvostudományi Nukleáris Társaság X. Kongresszusánakabsztraktjai
Bükfürdő, 1997. szeptember 25-27.
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Moduláris DICOM-alapú kép-archiváló és -továbbító rendszer a SZOTE-n</style></title><secondary-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">71</style></volume><pages><style face="normal" font="default" size="100%">6</style></pages><isbn><style face="normal" font="default" size="100%">0025-0287</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Többéves fejlesztési munka eredményeként elkészült a SZOTE kép-archiváló és -továbbító rendszere, a SZOTE-PACS (Picture 
Archiving and Communication Systems - PACS). Olyan rendszert 
készítettünk, amely csaknem valamennyi modalitásról képes 
vizsgálatokat begyűjteni, azokat szabványos DICOm formára 
átkonvertálni, a központi szerverre átküldeni, ott archiválni és 
a különböző megjelenítő és feldolgozó állomásokról igényelt 
vizsgálatokat az Archívumból kiadni. A SZOTE-PACS többféle 
számítógépes platformon (UNIX, PC, Amiga) képes működni. 
Egységes grafikus felhasználói felület segíti a felhasználók 
munkáját. A moduláris felépítés lehetővé teszi, hogy a különféle 
alrendszerek onállóan végezzenek el feladatokat (pl. adatgyűjtés 
és -konverzió, archiválás, feldolgozás és megjelenítés). Az 
Archívumban való keresést Oracle adatbáziskezelő segíti. 
Ugyancsak az Oracle segítségével oldottuk meg az Archívum 
adatvédelmét azáltal, hogy csak a megfelelő jogosultsággal 
rendelkező felhasználók férhetnek hozzá az Archívum számukra 
engedélyezett részéhez. A SZOTE-PACS támogatja a demonstrációs 
(oktatási, kutatási) anyagok készítését azáltal, hogy a 
vizsgálatok (képek, szövegek, numerikus adatok) HTML formátumú 
kivitelét is lehetővé teszi.
</style></abstract><issue><style face="normal" font="default" size="100%">SUPPL 1</style></issue><notes><style face="normal" font="default" size="100%">A Magyar Orvostudományi Nukleáris Társaság X. Kongresszusánakabsztraktjai
Bükfürdő, 1997. szeptember 25-27.
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author><author><style face="normal" font="default" size="100%">József Berke</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képarchiváló és továbbító rendszer szoftvere</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 1997</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997.10.09</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">189 - 193</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Az ismertetendő képarchiváló és -továbbító rendszer a szegediOrvostudományi Egyetem számára készült. A fejlesztés fő célja az volt, hogy egy olyan rendszert állítsunk elő, amely összegyájti a különböző képfelvevő berendezések (pl. CT, MR, NM, SPECT, US) által előállított beteg vizsgálatokat. A SZOTE-PACS a vizsgálatokat DICOM szabvány szerint archiválja Oracle adatbázis kezelő rendszerrel. Ezeket a vizsgálatokat a felhasználók lekérhetik az archívumból egy könnyen használható grafikus felülettel rendelkező programmal. Az adatbázisban tárolt képeket és egyéb információkat fel lehet használni oktatási anyag készítéséhez az orvostanhallgatók számára.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tamas Sziranyi</style></author><author><style face="normal" font="default" size="100%">József Berke</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi képarchiváló és továbbító rendszer szoftvere</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Képfeldolgozók és Alakfelismerők Országos Konferenciája</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997.10.09</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Pannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Kar</style></publisher><pub-location><style face="normal" font="default" size="100%">Keszthely</style></pub-location><pages><style face="normal" font="default" size="100%">189 - 193</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Az ismertetendő képarchiváló és -továbbító rendszer a szegediOrvostudományi Egyetem számára készült. A fejlesztés fő célja az volt, hogy egy olyan rendszert állítsunk elő, amely összegyájti a különböző képfelvevő berendezések (pl. CT, MR, NM, SPECT, US) által előállított beteg vizsgálatokat. A SZOTE-PACS a vizsgálatokat DICOM szabvány szerint archiválja Oracle adatbázis kezelő rendszerrel. Ezeket a vizsgálatokat a felhasználók lekérhetik az archívumból egy könnyen használható grafikus felülettel rendelkező programmal. Az adatbázisban tárolt képeket és egyéb információkat fel lehet használni oktatási anyag készítéséhez az orvostanhallgatók számára.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Carlo Bartolozzi</style></author><author><style face="normal" font="default" size="100%">Davide Caramella</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Problems and Solutions: One Year Experience with SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">15th EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">*</style></publisher><pub-location><style face="normal" font="default" size="100%">Pisa</style></pub-location><pages><style face="normal" font="default" size="100%">39 - 42</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Györgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Carlo Bartolozzi</style></author><author><style face="normal" font="default" size="100%">Davide Caramella</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Problems and Solutions: One Year Experience with SZOTE-PACS</style></title><secondary-title><style face="normal" font="default" size="100%">15th EuroPACS Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sep 1997</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">*</style></publisher><pub-location><style face="normal" font="default" size="100%">Pisa, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">39 - 42</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Györgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Mariann Nagy</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">S Orphanoudakis</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">DICOM Based PACS and Its Application in the Education</style></title><secondary-title><style face="normal" font="default" size="100%">International EuroPACS Meeting, EuroPACS '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1996</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">46 - 49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a DICOM based PACS developed at the Universitiesof Szeged. It is able to collect studies from different modalities and convert them into DICOM format. The DICOM studies can be edited, modified by RIS data, then verified and transferred into the archiving server. There is a graphic application based on Oracle for searching and other database management functions of the Archive. The archived studies can be presented and/or processed on the viewing workstations. SZOTE- PACS also supports the creation and presentation of educational materials fror medical students.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Mariann Nagy</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">S Orphanoudakis</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">DICOM Based PACS and Its Application in the Education</style></title><secondary-title><style face="normal" font="default" size="100%">International EuroPACS Meeting, EuroPACS '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct 1996</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">46 - 49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a DICOM based PACS developed at the Universitiesof Szeged. It is able to collect studies from different modalities and convert them into DICOM format. The DICOM studies can be edited, modified by RIS data, then verified and transferred into the archiving server. There is a graphic application based on Oracle for searching and other database management functions of the Archive. The archived studies can be presented and/or processed on the viewing workstations. SZOTE- PACS also supports the creation and presentation of educational materials fror medical students.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A DICOM szabvány megvalósítása és alkalmazásai</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">177 - 180</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A DICOM (Digital Imaging and COmmunication in Medicine) azorvosi vizsgálatok képeinek (CT, NM, MR, SPECT stb.) és egyéb adatainak tárolását és a számítógépes hálózaton keresztül történő átvitelét leíró új szabvány, amely ma már általánosan elfogadottá vált a gyártók és a felhasználók körében egyaránt. Ez a szabvány meghatározza a különféle információs objektumok (képek, vizsgálati és beteg adatok stb.) tárolási formátumát, az azokhoz kapcsolódó máveleteket (létrehozás, törlés stb.) és a hálózati kommunikáció módját is. Az új szabvány megalkotásának célja az volt, hogy egységes kapcsolódási lehetőséget biztosítson a különféle orvosi képalkotó berendezések számára. A DICOM szabványnak megfelelő modalitások és számítógépek a TCP/IP kommunikációs protokol szerint (pl. az Interneten keresztül) képesek vizsgálati adatokat továbbítani egymásnak. Több mint két éve folyó fejlesztési munkánk célja egy olyan DICOM programcsomag kifejlesztése volt, amely a szabvány elterjedéséhez nyújt segítséget. Így például szükség van olyan konverziós programokra, amelyek biztosítják a régi, elterjedt formátumban (interfile, ACR-NEMA) megadott vizsgálatok átalakítását egységesen DICOM formátumra. Hasonlóképpek fontos a DICOM formátumú objektumok beolvasása, módosítása, listázása és kiírása. Az alapvető feladatok elvégzésére készítettünk egy szubrutin gyűjteményt. Erre építve írtunk konverziós programokat, különböző segédprogramokat és felhasználó-barát, grafikus felülettel rendelkező szerkesztő programokat. Az összes komponenes működik PC-s és UNIX-os platformon egyaránt. A moduláris felépítésnek és a szabvány-leírások speciális tárolásának köszönhetően a programok könnyen igazíthatók lesznek a DICOM későbbi módosításaihoz, bővítéseihez. Az elvégzett tesztek azt mutatják, hogy az általunk előállított DICOM objektumok megfelelnek a szabványnak. Az eddig elkészült programok a fejlesztés alatt lévő SZOTE-PACS-ben és a MicroSegams rendszerben kerültek felhasználásra.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">L Kardos</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">U H Lemke</style></author><author><style face="normal" font="default" size="100%">Kiyonari Inamura</style></author><author><style face="normal" font="default" size="100%">Michael W Vannier</style></author><author><style face="normal" font="default" size="100%">G A Farman</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Educational PACS at the Medical University in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">CAR '96 - Computer Assisted Radiology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Elsevier Science Publishers</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam</style></pub-location><pages><style face="normal" font="default" size="100%">1027</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper describes the Picture Archiving and CommunicationSystem (PACS) developed for the Medical University of Szeged. 
The main aims of the development were to provide a tool to 
collect studies from different format and to use the archived 
information in the education and in the clinical routine. The 
system is able to collect studies from CT, MR, NM, US, SPECT 
modalities, from X-film scanners and from any station 
communicating according to DICOM storage- query/retrieve service 
class. The data are automatically converted from Interfile 3.3, 
ACR-NEMA 2.0 or TIFF formats into DICOM 3.0 format and stored in 
the data-server of the system. The study headers can be edited 
by graphic editor programs. The PACS can collect information 
also from the Radiology Information System (RIS) of the 
Department. In order to have an effective database management 
the users may use Oracle to retrieve, present or modify data. 
The Oracle system stores the whole header information but does 
not contain the image data itself. The clients can reach the 
database using capabilities and it can be used to avoid 
unauthorized connections. Our DICOM server gives the studies to 
the processing stations (PC-s, UNIX workstations or X-
terminals). Here the user can retrieve, process and present 
studies, furthermore, as a special aim, they can edit text and 
images into HTML format to create graduate and post-graduate 
educational material. Then this educational material can be 
stored also in the system/CD-ROMs and can be used in the 
training of medical students. Our PACS system is modular, 
flexible and based on a 4th generation functional programming 
language Tcl/Tk. This language has Oracle connection and 
graphical interfaces. In this way the same source code can be 
used by each client.
</style></abstract><notes><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/~kuba/pacs.html</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Péter Bakonyi</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Kép-archiváló és továbbító rendszer szoftverének fejlesztése (SZOTE-PACS)</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban '96 és Networkshop '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">1186 - 1192</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The Picture Archiving and Communication System developed for theMedical University of Szeged (called SZOTE-PACS) is described. 
The main aim of the development was to provide a system that 
collects patient studies from different radiology imaging 
modalities (e.g., CT, MR, NM). SZOTE-PACS archives the studies 
in a standard format (DICOM 3.0) with Oracle database system and 
the user can retrieve them by an easy-to-use graphic interface. 
The images and other information stored in the database can be 
used to edit educational material for medical university 
students.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Péter Bakonyi</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Kép-archiváló és továbbító rendszer szoftverének fejlesztése (SZOTE-PACS)</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban '96 és Networkshop '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">1186 - 1192</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The Picture Archiving and Communication System developed for theMedical University of Szeged (called SZOTE-PACS) is described. 
The main aim of the development was to provide a system that 
collects patient studies from different radiology imaging 
modalities (e.g., CT, MR, NM). SZOTE-PACS archives the studies 
in a standard format (DICOM 3.0) with Oracle database system and 
the user can retrieve them by an easy-to-use graphic interface. 
The images and other information stored in the database can be 
used to edit educational material for medical university 
students.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">L Kardos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Micsoda és mire jó a DICOM-3.0?</style></title><secondary-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">70</style></volume><pages><style face="normal" font="default" size="100%">67 - 72</style></pages><isbn><style face="normal" font="default" size="100%">0025-0287</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">SUPPL 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">L Kardos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Micsoda és mire jó a DICOM-3.0?</style></title><secondary-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGYAR RADIOLÓGIA</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">70</style></volume><pages><style face="normal" font="default" size="100%">67 - 72</style></pages><isbn><style face="normal" font="default" size="100%">0025-0287</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">SUPPL 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">Z Pavelka</style></author><author><style face="normal" font="default" size="100%">A Kelemen</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi információs rendszerek a Szent-Györgyi Albert Orvostudományi Egyetemen: RIS, HIS és PACS. Információcsere a rendszerek között.</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996.11.14</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><volume><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa</style></volume><pages><style face="normal" font="default" size="100%">184 - 186</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Radiológiával kapcsolatos szöveges és képi információkatEgyetemünkön több autonóm információs rendszer kezel. Ilyen az egészségügyi szolgáltatásokkal összefüggő adminisztratív és klinikai információk szervezésére szolgáló kórházi információs rendszer (HIS), a radiológiai szolgáltatásokat kezelő információs rendszer (RIS) és a digitális képtovábbító, képtároló és visszakereső rendszer (PACS). A rendszerek közötti információcsere sarkalatos probléma. A RIS- ből információt kell átvenni a PCS-ba. A HIS rendeléseinek számítógépes kezelése szükségessé teszi a RIS-hez történő kapcsolat kialakítását. A RIS és a PACS között egy ut. SQL gateway biztosítja az információcserét. A gateway program figyeli a UNIX alapú képszerverről szövegfájlban jövő szabványos SQL kéréseket, továbbítja a RIS Novell szervere felé és a lekérdezés eredményét visszaküldi. A RIS és HIS közötti gateway program az AS400 és RIS szerver között tartja a kapcsolatot, az információcsere DBF fájlok segítségével folyik. Végleges megoldást csak a szabványosítás hozhat. Az általunk fejlesztett PACS már DICOM konform, dolgozunk a RIS DICOM konformmá tételén. Mivel a DICOm tartalmazza a képalkotó berendezések, a PACS és a HIS/RIS kapcsolatot leíró szabványt, alkalmazása lehetővé teszi a rendszerek közötti közvetlen információcserét.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Almási</style></author><author><style face="normal" font="default" size="100%">Zsolt Sóti</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">Z Pavelka</style></author><author><style face="normal" font="default" size="100%">A Kelemen</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Orvosi információs rendszerek a Szent-Györgyi Albert Orvostudományi Egyetemen: RIS, HIS és PACS. Információcsere a rendszerek között.</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">184 - 186</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Radiológiával kapcsolatos szöveges és képi információkatEgyetemünkön több autonóm információs rendszer kezel. Ilyen az egészségügyi szolgáltatásokkal összefüggő adminisztratív és klinikai információk szervezésére szolgáló kórházi információs rendszer (HIS), a radiológiai szolgáltatásokat kezelő információs rendszer (RIS) és a digitális képtovábbító, képtároló és visszakereső rendszer (PACS). A rendszerek közötti információcsere sarkalatos probléma. A RIS- ből információt kell átvenni a PCS-ba. A HIS rendeléseinek számítógépes kezelése szükségessé teszi a RIS-hez történő kapcsolat kialakítását. A RIS és a PACS között egy ut. SQL gateway biztosítja az információcserét. A gateway program figyeli a UNIX alapú képszerverről szövegfájlban jövő szabványos SQL kéréseket, továbbítja a RIS Novell szervere felé és a lekérdezés eredményét visszaküldi. A RIS és HIS közötti gateway program az AS400 és RIS szerver között tartja a kapcsolatot, az információcsere DBF fájlok segítségével folyik. Végleges megoldást csak a szabványosítás hozhat. Az általunk fejlesztett PACS már DICOM konform, dolgozunk a RIS DICOM konformmá tételén. Mivel a DICOm tartalmazza a képalkotó berendezések, a PACS és a HIS/RIS kapcsolatot leíró szabványt, alkalmazása lehetővé teszi a rendszerek közötti közvetlen információcserét.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Mariann Dudásné Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">SZOTE-PACS: A Szent-Györgyi Albert Orvostudományi Egyetem képarchiváló és továbbító rendszerének szoftvere</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">173 - 176</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szent-Györgyi Albert Orvostudományi Egyetem kép-archiváló és -továbbító rendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A cél egy olyan számítógépes hálózat elkészítése, amely nemcsak a klinikai vizsgálatok képeinek tárolásával és átvitelével kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységéeket is. A SZOTE-PACS 3 részre bontható: képfelvevő, archiváló és megjelenítő állomásokra. A képfelvevő munkaállomásoknak kettős feladata van: egyrészt a különféle modalitásokon (CT, MR, NM, US és SPECT) vagy röntgenfilm-scanneren felvett, illetve a DICOM- szabványnak megfelelő állomásról beérkező vizsgálatok begyűjtése, másrészt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF formátumú vizsgálatok DICOM formátumra való automatikus konvertálása. A rendszer képes a Radiológiai Klinika Információs Rendszerében (RIS) levő információk átvételére és beépítésére is. Az így előkészített vizsgálatok átküldhetők a központi szerverre, ahol azok az archívumban automatiksan tárolódnak. A jelenlegi diszk kapacitás mellett 15 napig őrizzük a vizsgálatokat. A tervek szerint 15 nap után csak a képeket töröljük a szerverről, a vizsgálat egyéb (nem képi) adatai továbbra is megőrzésre kerülnek. Az archívumban Oracle adatbázis kezeéő rendszer segíti a visszakeresést, a mejelenítést és a módosítást. A feldolgozó munkaállomásokra (PC-k, UNOX-állomások vagy X-terminálok) kérheti le a felhasználó a szerveren tárolt vizsgálatokat. Itt jeleníthetők meg illetve dolgozhatók fel a vizsgálatok képei. Az orvostanhallgatók és doktoranduszok képzésére HTML-ben írt oktatási anyagok állíthatók össze a tárolt szöveges és képi adatokból. Az oktatási anyagokat a rendszer külön adatbázisban tárolja.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Mariann Dudásné Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author><author><style face="normal" font="default" size="100%">László Almási</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">György Kozmann</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">SZOTE-PACS: A Szent-Györgyi Albert Orvostudományi Egyetem képarchiváló és továbbító rendszerének szoftvere</style></title><secondary-title><style face="normal" font="default" size="100%">A számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">173 - 176</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szent-Györgyi Albert Orvostudományi Egyetem kép-archiváló és -továbbító rendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A cél egy olyan számítógépes hálózat elkészítése, amely nemcsak a klinikai vizsgálatok képeinek tárolásával és átvitelével kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységéeket is. A SZOTE-PACS 3 részre bontható: képfelvevő, archiváló és megjelenítő állomásokra. A képfelvevő munkaállomásoknak kettős feladata van: egyrészt a különféle modalitásokon (CT, MR, NM, US és SPECT) vagy röntgenfilm-scanneren felvett, illetve a DICOM- szabványnak megfelelő állomásról beérkező vizsgálatok begyűjtése, másrészt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF formátumú vizsgálatok DICOM formátumra való automatikus konvertálása. A rendszer képes a Radiológiai Klinika Információs Rendszerében (RIS) levő információk átvételére és beépítésére is. Az így előkészített vizsgálatok átküldhetők a központi szerverre, ahol azok az archívumban automatiksan tárolódnak. A jelenlegi diszk kapacitás mellett 15 napig őrizzük a vizsgálatokat. A tervek szerint 15 nap után csak a képeket töröljük a szerverről, a vizsgálat egyéb (nem képi) adatai továbbra is megőrzésre kerülnek. Az archívumban Oracle adatbázis kezeéő rendszer segíti a visszakeresést, a mejelenítést és a módosítást. A feldolgozó munkaállomásokra (PC-k, UNOX-állomások vagy X-terminálok) kérheti le a felhasználó a szerveren tárolt vizsgálatokat. Itt jeleníthetők meg illetve dolgozhatók fel a vizsgálatok képei. Az orvostanhallgatók és doktoranduszok képzésére HTML-ben írt oktatási anyagok állíthatók össze a tárolt szöveges és képi adatokból. Az oktatási anyagokat a rendszer külön adatbázisban tárolja.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Attila Fazekas</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Pethő</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Péter Bakonyi</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A többdimenziós képfeldolgozás programjai és oktatásuk</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban '96 és Networkshop '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">649 - 656</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Nowdays, the multidimensional (i.e. higher than 2-dimensional)image processing has been a strongly developing area. One of its 
most important application areas is the medicine, where numerous 
diagnostic imaging devices (e.g., CT, MR, SPECT etc.) are able 
to produce 3- or even higher dimensional images. We have studied 
the possibility of introduction of multidimensional image 
processing into the subjects of Image Processing at József 
Attila University. First, we considered the methods of 
generation of such images, then the different standards accepted 
in the medical applications. From the processing algorithms we 
have dealt with the 3D skeletons, binary operations, 
reconstruction and registration. These topics are discussed in 
the education of graduated and PhD students as well.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Attila Fazekas</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Attila Pethő</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Péter Bakonyi</style></author><author><style face="normal" font="default" size="100%">Miklós Herdon</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A többdimenziós képfeldolgozás programjai és oktatásuk</style></title><secondary-title><style face="normal" font="default" size="100%">Informatika a felsőoktatásban '96 és Networkshop '96</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Debreceni Egyetem</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">649 - 656</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Nowdays, the multidimensional (i.e. higher than 2-dimensional)image processing has been a strongly developing area. One of its 
most important application areas is the medicine, where numerous 
diagnostic imaging devices (e.g., CT, MR, SPECT etc.) are able 
to produce 3- or even higher dimensional images. We have studied 
the possibility of introduction of multidimensional image 
processing into the subjects of Image Processing at József 
Attila University. First, we considered the methods of 
generation of such images, then the different standards accepted 
in the medical applications. From the processing algorithms we 
have dealt with the 3D skeletons, binary operations, 
reconstruction and registration. These topics are discussed in 
the education of graduated and PhD students as well.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Molnár</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozó oktatási segédprogram (PicKit)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1995</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 46</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">TDK dolgozatOTDK II. helyezés
TDK dolgozatOTDK II. helyezés
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Molnár</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozó oktatási segédprogram (PicKit)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1995///</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 46</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">TDK dolgozatOTDK II. helyezés
TDK dolgozatOTDK II. helyezés
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Ivan Bajla</style></author><author><style face="normal" font="default" size="100%">K Karovic</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Presentation of 3D SPECT images</style></title><secondary-title><style face="normal" font="default" size="100%">4th International Workshop Measurement</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 1995</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Smolenice, Slovakia</style></pub-location><pages><style face="normal" font="default" size="100%">82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The problem of presentation of 3D SPECT (Single-Photon EmissionComputed Tomography) images are considered. Instead of the classical 2D image presentation methods (displaying the slices) the following methods are studied: presentation of sections with a 3D reference image, generation of 3D phase and amplitude images (for gated heart studies), surface rendering and volume rendering by 3DVIEWNIX (MIGP, Univ. Pennsylvania) software. The projections are collected by a single-head SPECT system. After preprocessing (centre-of-rotation, uniformity correction) and reconstruction of the transversal sections absorption- correction and special 3D processing can be done. There are clinical programs for the different kinds of studies (e.g. brain SPECT, heart SPECT). The processed section images are stored and converted into Interfile 3.3 format. The first two presentation methods are available on our SPECT system. In order to use the 3DVIEWNIX software the file of the reconstructed sections is converted into a generalized ACR-NEMA format and transferred into our university network. The 3DVIEWNIX system runs on UNIX machines. It is suitable to visualize, manipulate and analyse multidimensional image data like SPECT. The results of the surface and volume rendering of brain and heart studies are presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Ivan Bajla</style></author><author><style face="normal" font="default" size="100%">K Karovic</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Presentation of 3D SPECT images</style></title><secondary-title><style face="normal" font="default" size="100%">4th International Workshop Measurement</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 1995</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Smolenice, Slovakia</style></pub-location><pages><style face="normal" font="default" size="100%">82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The problem of presentation of 3D SPECT (Single-Photon EmissionComputed Tomography) images are considered. Instead of the classical 2D image presentation methods (displaying the slices) the following methods are studied: presentation of sections with a 3D reference image, generation of 3D phase and amplitude images (for gated heart studies), surface rendering and volume rendering by 3DVIEWNIX (MIGP, Univ. Pennsylvania) software. The projections are collected by a single-head SPECT system. After preprocessing (centre-of-rotation, uniformity correction) and reconstruction of the transversal sections absorption- correction and special 3D processing can be done. There are clinical programs for the different kinds of studies (e.g. brain SPECT, heart SPECT). The processed section images are stored and converted into Interfile 3.3 format. The first two presentation methods are available on our SPECT system. In order to use the 3DVIEWNIX software the file of the reconstructed sections is converted into a generalized ACR-NEMA format and transferred into our university network. The 3DVIEWNIX system runs on UNIX machines. It is suitable to visualize, manipulate and analyse multidimensional image data like SPECT. The results of the surface and volume rendering of brain and heart studies are presented.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A SZOTE kép-archiváló és -továbbító rendszere</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Orvostudományi Nukleáris Társaság IX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1995</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Eger</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szent-Györgyi Albert Orvostudományi Egyetem és a József AttilaTudományegyetem közös FEFA pályázatot nyert 1994-95-ben az Orvosegyetem oktatási célú kép-archiváló és -továbbító rendszerének (Picture Archiving and Communication System - PACS) és radiológiai információs rendszerének (Radiological Information System - RIS) a kialakítására. A rendszer hardware alapjait a már kialakított egyetemi számítógépes hálózat és a beszerzett illetve még beszerzés alatt álló komponensek (hálózati elemek, munkaállomások, scannerek, képmegjelenítők) biztosítják. Software terveink a következő részekből állnak: a) a különféle modalitásokról (pl. SPECT, CT, NM, MRI, ultrahang, scanner) származó vizsgálatokat begyűjtő és egységesen DICOM szabványú formátumra konvertáló alrendszer b) a vizsgálatokat a hálózaton keresztül az archívumba továbbító alrendszer c) a központi számítógépen működő archiválási alrendszer d) az archívumban tárolt vizsgálatokból oktatási anyagokat készítő (szerkesztő, válogató) és bemutató alrendszer e) és végül a rendszer üzemeltetését segítő karbantartási alrendszer. Előadásunkban ismertetjük a komplex rendszer software tervét, eddig elkészült részeit és az üzemeltetés során eddig szerzett tapasztalatokat.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">Art. No.: P21</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author><author><style face="normal" font="default" size="100%">László Csernay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A SZOTE kép-archiváló és -továbbító rendszere</style></title><secondary-title><style face="normal" font="default" size="100%">Magyar Orvostudományi Nukleáris Társaság IX. Kongresszusa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1995</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Eger</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Szent-Györgyi Albert Orvostudományi Egyetem és a József AttilaTudományegyetem közös FEFA pályázatot nyert 1994-95-ben az Orvosegyetem oktatási célú kép-archiváló és -továbbító rendszerének (Picture Archiving and Communication System - PACS) és radiológiai információs rendszerének (Radiological Information System - RIS) a kialakítására. A rendszer hardware alapjait a már kialakított egyetemi számítógépes hálózat és a beszerzett illetve még beszerzés alatt álló komponensek (hálózati elemek, munkaállomások, scannerek, képmegjelenítők) biztosítják. Software terveink a következő részekből állnak: a) a különféle modalitásokról (pl. SPECT, CT, NM, MRI, ultrahang, scanner) származó vizsgálatokat begyűjtő és egységesen DICOM szabványú formátumra konvertáló alrendszer b) a vizsgálatokat a hálózaton keresztül az archívumba továbbító alrendszer c) a központi számítógépen működő archiválási alrendszer d) az archívumban tárolt vizsgálatokból oktatási anyagokat készítő (szerkesztő, válogató) és bemutató alrendszer e) és végül a rendszer üzemeltetését segítő karbantartási alrendszer. Előadásunkban ismertetjük a komplex rendszer software tervét, eddig elkészült részeit és az üzemeltetés során eddig szerzett tapasztalatokat.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">Art. No.: P21</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Molnár</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozó oktatási segédprogram (PicKit)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1994</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 36</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">TDK dolgozathelyi TDK I. helyezés
TDK dolgozathelyi TDK I. helyezés
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Péter Molnár</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozó oktatási segédprogram (PicKit)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1994///</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 36</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">TDK dolgozathelyi TDK I. helyezés
TDK dolgozathelyi TDK I. helyezés
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Képfeldolgozó oktatási segédprogram (PicKit)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1994///</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 61</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">diplomamunka (MSc thesis)diplomamunka (MSc thesis)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">József Tolnai</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Zoltán Hantos</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Szabványos képformák orvosi képek tárolására</style></title><secondary-title><style face="normal" font="default" size="100%">MEDICOMP '94, Számítástechnikai és kibernetikai módszerek az orvostudományban és a biológiában</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1994///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SZOTE</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">112 - 116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Az orvosi képalkotó berendezések fejlődésével elengedhetetlennévált a szabványos orvosi képformátumok kialakítása. A különféle 
eszközökön készült felvételek feldolgozását, összehasonlítását 
és hálózatban való továbbítását megnehezítette, hogy a gyártók a 
képeket csak egyéni, többé-kevésbé publikált formátumban 
tárolták. Ezen a helyzeten kívánnak változtatni különféle 
szervezetek olyan szabványok bevezetésével, amelyek speciálisan 
orvosi képek esetében lehetnek hasznosak. A szabványosítási 
törekvések eredményeként mára három nagy irányzat alakult ki: 
ACR-NEMA, DICOM és Interfile. Előadásunkban vázoljuk az orvosi 
képek tárolási formátumainál érvényesülő specifikus 
szempontokat, röviden ismertetjük az említett szabványokat és 
bemutatjuk az általunk eddig készített, a különféle formátumok 
közötti konverziót biztosító programokat.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">József Tolnai</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Zoltán Hantos</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Szabványos képformák orvosi képek tárolására</style></title><secondary-title><style face="normal" font="default" size="100%">MEDICOMP '94, Számítástechnikai és kibernetikai módszerek az orvostudományban és a biológiában</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1994</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SZOTE</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">112 - 116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Az orvosi képalkotó berendezések fejlődésével elengedhetetlennévált a szabványos orvosi képformátumok kialakítása. A különféle 
eszközökön készült felvételek feldolgozását, összehasonlítását 
és hálózatban való továbbítását megnehezítette, hogy a gyártók a 
képeket csak egyéni, többé-kevésbé publikált formátumban 
tárolták. Ezen a helyzeten kívánnak változtatni különféle 
szervezetek olyan szabványok bevezetésével, amelyek speciálisan 
orvosi képek esetében lehetnek hasznosak. A szabványosítási 
törekvések eredményeként mára három nagy irányzat alakult ki: 
ACR-NEMA, DICOM és Interfile. Előadásunkban vázoljuk az orvosi 
képek tárolási formátumainál érvényesülő specifikus 
szempontokat, röviden ismertetjük az említett szabványokat és 
bemutatjuk az általunk eddig készített, a különféle formátumok 
közötti konverziót biztosító programokat.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Különböző tipusú számítógépes karakterkészletek összehasonlítása és konverziója</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1992</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1992///</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 39</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">TDK dolgozathelyi TDK különdíj
TDK dolgozathelyi TDK különdíj
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Különböző tipusú számítógépes karakterkészletek összehasonlítása és konverziója</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1992</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1992///</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%"> - 47</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">szakdolgozat (BSc thesis)szakdolgozat (BSc thesis)</style></notes></record></records></xml>