<?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></contributors><titles><title><style face="normal" font="default" size="100%">Quantitative analysis of pulmonary airway tree structures</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTERS IN BIOLOGY AND MEDICINE</style></secondary-title><short-title><style face="normal" font="default" size="100%">COMPUT BIOL MED</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><pub-location><style face="normal" font="default" size="100%">ANTIGA L, 2003, IEEE T MED IMAGING, V22, P674, DOI10.1109/TMI.2003.812261
AYLWARD SR, 2002, IEEE T MED IMAGING, V21, P61
BLAND JM, 1986, LANCET, V1, P307
BORGEFORS G, 1984, COMPUT VISION GRAPH, V27, P321
BOUIX S, 2003, IEEE C COMP VIS PATT, P449
CHEN ZK, </style></pub-location><volume><style face="normal" font="default" size="100%">36</style></volume><pages><style face="normal" font="default" size="100%">974 - 996</style></pages><isbn><style face="normal" font="default" size="100%">0010-4825</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A method for computationally efficient skeletonization of three-dimensional tubular structures is reported. The method is specifically targeting skeletonization of vascular and airway tree structures in medical images but it is general and applicable to many other skeletonization tasks. The developed approach builds on the following novel concepts and properties: fast curve-thinning algorithm to increase computational speed, endpoint re-checking to avoid generation of spurious side branches, depth-and-length sensitive pruning, and exact tree-branch partitioning allowing branch volume and surface measurements. The method was validated in computer and physical phantoms and in vivo CT scans of human lungs. The validation studies demonstrated sub-voxel accuracy of branch point positioning, insensitivity to changes of object orientation, and high reproducibility of derived quantitative indices of the tubular structures offering a significant improvement over previously reported methods (p ≪ 0.001). © 2005 Elsevier Ltd. All rights reserved.</style></abstract><issue><style face="normal" font="default" size="100%">9</style></issue><notes><style face="normal" font="default" size="100%">UT: 000239889900004ScopusID: 33746349840doi: 10.1016/j.compbiomed.2005.05.004</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Matching and anatomical labeling of human airway tree</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%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">BALLARD DH, 1982, COMPUTER VISIONBOYDEN EA, 1955, SEGMENTAL ANATOMY LU
CARRAGHAN R, 1990, OPER RES LETT, V9, P375
GAREY MR, 1979, COMPUTERS INTRACTABI
KITAOKA H, 2002, P MICCAI 2002 TOKYO, P1
MORI K, 2000, IEEE T MED IMAGING, V19, P103
PALAGYI K, 2003, LE</style></pub-location><volume><style face="normal" font="default" size="100%">24</style></volume><pages><style face="normal" font="default" size="100%">1540 - 1547</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%">Matching of corresponding branchpoints between two human airway trees, as well as assigning anatomical names to the segments and branchpoints of the human airway tree, are of significant interest for clinical applications and physiological studies. In the past, these tasks were often performed manually due to the lack of automated algorithms that can tolerate false branches and anatomical variability typical for in vivo trees. In this paper, we present algorithms that perform both matching of branchpoints and anatomical labeling of in vivo trees without any human intervention and within a short computing time. No hand-pruning of false branches is required. The results from the automated methods show a high degree of accuracy when validated against reference data provided by human experts. 92.9% of the verifiable branchpoint matches found by the computer agree with experts' results. For anatomical labeling, 97.1 % of the automatically assigned segment labels were found to be correct. © 2005 IEEE.</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><notes><style face="normal" font="default" size="100%">UT: 000233779000002ScopusID: 29144483584doi: 10.1109/TMI.2005.857653</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Assessment of intrathoracic airway trees: Methods and in vivo validation</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%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004///</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">BLAND JM, 1986, LANCET, V1, P307CHEN ZK, 2003, COMPUT MED IMAG GRAP, V27, P469, DOI
10.1016/S0895-6111(03)00039-9
GERIG G, 1993, LECT NOTES COMPUTER, V687, P94
KITAOKA H, 1999, J APPL PHYSIOL, V87, P2207
KONG TY, 1989, COMPUT VISION GRAPH, V48, P357
MADDA</style></pub-location><volume><style face="normal" font="default" size="100%">3117</style></volume><pages><style face="normal" font="default" size="100%">341 - 352</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><notes><style face="normal" font="default" size="100%">UT: 000224372600029doi: 10.1007/978-3-540-27816-0_29Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic (eds.)Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis 
ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004 
Revised Selected Papers 
Berlin; Heidelberg; New York : Springer,2004 
DOI: 10.1007/b98995
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function</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%">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%">BAE KT, 1997, RADIOLOGY, V203, P705BENTLEY MD, 1994, CIRC RES, V74, P945
CHULHO W, 2003, J APPL PHYSIOL, V94, P2483
CLARKE LP, 2001, ACAD RADIOL, V8, P447
COXSON H, 2003, AM J RESP CRIT CARE, V167, A81
COXSON H, 2003, AM J RESP CRIT CARE, V167, A81
COXSON</style></pub-location><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">1104 - 1118</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><issue><style face="normal" font="default" size="100%">10</style></issue><notes><style face="normal" font="default" size="100%">UT: 000185944700005doi: 10.1016/S1076-6332(03)00330-1Workshop on Pulmonary Functional ImagingJUN, 2002
PHILADELPHIA, PENNSYLVANIA
</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Segmentation, skeletonization, and branchpoint matching - A fully automated quantitative evaluation of human intrathoratic airway trees</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%">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%">2489</style></volume><pages><style face="normal" font="default" size="100%">12 - 19</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></record></records></xml>