Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Integrated shape corresponding information by landmark sliding for non-rigid registration between CT and ultrasound images

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

4 Author(s)
Su Zhang ; Dept. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China ; Wei Yang ; Xuesong Lu ; Yazhu Chen

Non-rigid registration between CT and ultrasound images is a difficult task due to the low resolution and contrast of ultrasound images. We present a method incorporating the shape information of contours extracted from the image pairs for the registration. Firstly, the shapes are represented by the automatically detected landmarks along the contour of segmented object on CT and ultrasound images. Secondly, the landmarks are corresponded by landmark sliding and the negative mean squared distance of the corresponding landmarks is used as the shape similarity measure. Finally, the integrated similarity metric for registration combines mutual information, shape similarity and smoothness constraint. The experiment results show that registration accuracy using the integrated similarity is higher than using only mutual information with nearly same execution time. It is verified that the shape information could improve the registration results between CT and ultrasound images.

Published in:

Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on  (Volume:1 )

Date of Conference:

17-19 Nov. 2008