By Topic

Research on Segmentation Method of Multi-Region Liver Image

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

2 Author(s)
Huiyan Jiang ; Comput. Center, Northeastern Univ., Shenyang ; Fujita, H.

A new segmentation method of multi-region liver image is suggested in this paper. In the new method, the aorta was segmented based on improved Ostu algorithm and its shape characteristic, and then the liver image in single regions was segmented based on the position of aorta, region growth method of multi-seed voting mechanism and self-adaptive adjusting threshold. Finally, multi-region liver images were carried out by extracting candidate region of liver based on its grey scale and position, and matching and merging the segmented liver regions. The new method was applied to the actual 30 pieces MRI and shows its availability to multi-region segmentation of liver images

Published in:

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:2 )

Date of Conference:

0-0 0