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

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

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