Finite element approach to warping of brain images

James C. Gee; David R. Haynor; Martin Reivich M.D.; Ruzena K. Bajcsy

doi:10.1117/12.175067

11 May 1994 Finite element approach to warping of brain images

James C. Gee, David R. Haynor, Martin Reivich M.D., Ruzena K. Bajcsy

Author Affiliations +

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175067
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

A probabilistic approach to the brain image matching problem is proposed in which no assumptions are made about the nature of the intensity relationship between the two brain images. Instead the correspondence between the two intensities is represented by a conditional probability, which is iteratively determined as part of the matching problem. This paper presents the theory and describes its finite element implementation. The results of preliminary experiments indicate that there remain several aspects of the algorithm that require further investigation and refinement.

Citation Download Citation

James C. Gee, David R. Haynor, Martin Reivich M.D., and Ruzena K. Bajcsy "Finite element approach to warping of brain images", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175067

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE