By Topic

Medical image registration using geometric hashing

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

3 Author(s)
A. P. Gueziec ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; X. Pennec ; N. Ayache

To carefully compare pictures of the same thing taken from different views, the images must first be registered, or aligned so as to best superimpose them. Results show that two geometric hashing methods, based respectively on curves and characteristic features, can be used to compute 3D transformations that automatically register medical images of the same patient in a practical, fast, accurate, and reliable manner

Published in:

IEEE Computational Science and Engineering  (Volume:4 ,  Issue: 4 )