By Topic


Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Metz, C. ; Dept. of Radiol. & Med. Inf., Univ. Med. Center Rotterdam ; Schaap, M. ; van der Giessen, A. ; van Walsum, T.
more authors

This paper presents a semi-automatic coronary centerline extraction algorithm for computed tomography angiography data. The method applies region growing to computed tomography angiography data and incorporates bifurcation and leak detection. The presented method is evaluated either on the original data and on data in which vessel-like structures have been enhanced. Semi-automatically extracted centerlines of the three main coronary arteries are compared with centerlines manually annotated by three observers, using an overlap and distance measure. The method successfully extracted vessel centerlines in up to 15 out of 18 evaluated cases, with a localization accuracy which was in the range of the interobserver variability. Vessel enhancement prior to centerline extraction did not improve the results

Published in:

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Date of Conference:

12-15 April 2007