Image registration using shape-constrained mutual information and genetic algorithms

Xiaohui Yuan; Gloria Chi-Fishman

doi:10.1117/12.653373

10 March 2006 Image registration using shape-constrained mutual information and genetic algorithms

Xiaohui Yuan, Gloria Chi-Fishman

Author Affiliations +

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61442S (2006) https://doi.org/10.1117/12.653373
Event: Medical Imaging, 2006, San Diego, California, United States

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.

Citation Download Citation

Xiaohui Yuan and Gloria Chi-Fishman "Image registration using shape-constrained mutual information and genetic algorithms", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442S (10 March 2006); https://doi.org/10.1117/12.653373

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