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ECR 2013 / C-2474
An automatic system for segmentation, matching, anatomical labeling and measurement of airways from CT images
Congress: ECR 2013
Poster No.: C-2474
Type: Scientific Exhibit
Keywords: Chronic obstructive airways disease, Computer Applications-3D, CT, Respiratory system
Authors: J. Petersen1, A. Feragen1, M. Owen2, P. Lo3, M. M. W. Wille4, L. H. Thomsen5, A. Dirksen5, M. De Bruijne6; 1Copenhagen/DK, 2Waterloo, ON/CA, 3Los Angeles, CA/US, 4Hellerup/DK, 5Gentofte/DK, 6Rotterdam/NL
DOI:10.1594/ecr2013/C-2474

Personal Information

Jens Petersen is with the Image Group at the Department of Computer Science at the University of Copenhagen, Copenhagen, Denmark; phup@diku.dk.

 

Aasa Feragen is with the Image Group at the Department of Computer Science at the University of Copenhagen, Copenhagen, Denmark. She is also with the Machine Learning and Computational Biology Research Group at the Max Planck institute for Developmental Biology and Max Planck Institute for Intelligent Systems, Tübingen, Germany.

 

Megan Owen is with the Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.

 

Pechin Lo is with the Thoracic Imaging Research Group, University of California, Los Angeles, California, United States of America.

 

Mathilde Marie Winkler Wille is with the  Department of Respiratory Medicine, Gentofte Hospital, Denmark

 

Asger Dirksen is with the Department of Respiratory Medicine, Gentofte Hospital, Denmark

 

Laura Hohwü Thomsen is with Department of Respiratory Medicine, Gentofte Hospital, Denmark

 

Marleen de Bruijne is with the Biomedical Imaging Group Rotterdam, Departments of Radiology & Medical Informatics, Erasmus MC, Rotterdam, The Netherlands. She is also with the Image Group at the Department of Computer Science at the University of Copenhagen, Copenhagen, Denmark

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