<?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%">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></records></xml>