By Topic

Registration of multi-modal brain images using the rigidity constraint

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)
Ding, L. ; Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA ; Goshtasby, A.

A template-matching approach to registration of volumetric images is described. The process automatically selects about a dozen highly detailed and unique templates (cubic or spherical subvolumes) from the target volume and locates the templates in the reference volume. The centroids of four correspondences best satisfying the rigidity constraint are then used to determine the transformation matrix that resamples the target volume to overlay the reference volume. Different similarity measures used in template matching are discussed and experimental results are presented. The proposed registration method produces a median error of 2.8 mm when registering Venderbilt brain image data sets and an average registration time of 2.5 minutes on a 400 MHz PC

Published in:

Bioinformatics and Bioengineering Conference, 2001. Proceedings of the IEEE 2nd International Symposium on

Date of Conference:

4-6 Nov 2001