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Proceedings Paper

Image registration using shape-constrained mutual information and genetic algorithms
Author(s): Xiaohui Yuan; Gloria Chi-Fishman
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Paper Abstract

We present a novel, shape-constrained mutual information-based image registration method using a Genetic Algorithm (GA) for aligning 2D MR images of the in vivo human tongue. By restricting the computation of Mutual Information (MI) using segmented object, we are able to register images in a short time without compromising accuracy. In addition, due to the employment of GA, the robustness of this method is greatly improved such that good registration results can be achieved given large initial transformation difference. Hence, this method eliminates the failure of matching caused by partial object overlap. Our experiments clearly demonstrate the robustness and accuracy of the method.

Paper Details

Date Published: 10 March 2006
PDF: 8 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442S (10 March 2006); doi: 10.1117/12.653373
Show Author Affiliations
Xiaohui Yuan, National Institutes of Health (United States)
Gloria Chi-Fishman, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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