By Topic

Energy functions for the segmentation of ultrasound volume data using active rays

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
$33 $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)
M. Martin ; E.T.S.I.T., Valladolid Univ., Spain ; E. Rodriguez ; D. Tejada ; C. Alberola
more authors

In this paper we address the problem of ultrasound volume data segmentation by means of active contours. The segmentation is performed on an slice-by-slice basis but exploiting the high correlation that exists across nearby slices. We have used active rays to alleviate the computational load of the optimization process. Classical energy functions have trouble finding the optimal solution in speckle imagery. We therefore propose new energy functions that work well under this type of images. Moreover, we propose both a probabilistic relaxation scheme and a heuristic search of the minimal energy configuration to end up making a hybrid use of both. We compare two rendered surfaces to illustrate the smoothness of our reconstruction

Published in:

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:6 )

Date of Conference: