A comparison of similarity measures for 2d rigid MR image registration using wavelet transform

Authors:
Shutao Li;Shengchu Deng;Jinglin Peng
Affiliations:
College of Electrical and Information Engineering, Hunan University, Changsha, China;College of Electrical and Information Engineering, Hunan University, Changsha, China;College of Electrical and Information Engineering, Hunan University, Changsha, China
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

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Abstract

Medical image registration is a decisive step in medical image processsing. In intensity-based image registration methods, multiresolution coarse-to-fine strategy is often used to speed up the registration process. In this paper, several commonly-used similarity measures were compared under multi-resolution wavelet framework. The similarity measures are energy, joint entropy, mutual information, normalized mutual information, correlation ratio, and partitioned intensity uniformity. Experimental results give a guidance to the selection of appropriate similarity measures for registration in a multiresolution wavelet framework.