By Topic

Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography Images Using Spatial Fuzzy C-Means

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

3 Author(s)
Majd, E.M. ; Video & Image Process. Res. Group (Cwip), Univ. Teknol. Malaysia, Johor Bahru, Malaysia ; Sheikh, U.U. ; Abu-Bakar, S.A.R.

Abdominal aortic aneurysm (AAA) is a cardiovascular disease which mostly appears in elderly people. Due to the weakening of aortic wall, a rupture occurs in the most inner layer of aorta and a thrombus is generated. If the diameter exceeds greater than 5.5 cm, a treatment strategy is required. As a result, CT imaging is utilized to screen and evaluate thrombus parameters for treatment. Exploitation of automatic techniques improves the pre- and post-treatment evaluation. In this paper, at first an algorithm based on spatial fuzzy c-means is applied to the CT image. Then lumen and thrombus are segmented automatically by tuning of morphological operators and thresholding parameters.

Published in:

Signal-Image Technology and Internet-Based Systems (SITIS), 2010 Sixth International Conference on

Date of Conference:

15-18 Dec. 2010