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Proceedings Paper

Finite element approach to warping of brain images
Author(s): James C. Gee; David R. Haynor; Martin Reivich; Ruzena K. Bajcsy
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Paper 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.

Paper Details

Date Published: 11 May 1994
PDF: 11 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175067
Show Author Affiliations
James C. Gee, Univ. of Pennsylvania (United States)
David R. Haynor, Univ. of Washington (United States)
Martin Reivich, Univ. of Pennsylvania (United States)
Ruzena K. Bajcsy, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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