By Topic

Internal evaluation of registration results for radiographic 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

5 Author(s)

This wort focuses on internal gray level based evaluation of image registration results. The motivation is to provide all approach for self-diagnosis in the scope of a patient alignment system based on rigid registration of real and reconstructed X-ray images. As an automatic system should provide expressive indicators for the correctness of the outcome, we propose a method to estimate the probability for the resulting transformations to lie within a predefined window of acceptable values. Based purely on image gray values, the approach is independent from previous knowledge about the images. By registration of corresponding fragments of both images we generate redundancy and define the probability density of the resulting transformations. The proposed method is tested comparing digital reconstructed radiographs (DRRs) to X-ray images. By introducing geometric and radiometric deviations we show that a reliable self-diagnosis is possible.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008