Spatial Information Based Medical Image Registration using Mutual Information

Benzheng Wei, Zhimin Zhao, Xin Peng · Journal of Multimedia · 2011

Abstract—Image registration is a problem that arises in many image processing applications whenever information from two or more scenes has to be aligned. A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from spatial information, mutual information, and relative entropy, as a new matching criterion. Firstly, the feature characteristics like location, edge strength and orientation are taken into account to compute a joint probability distribution of corresponding edge points in two images. Then the mutual information based on this function is minimized to find the best alignment parameters. Finally, the translation parameters are calculated by using Powell algorithm. The experiment results showed that the method have achieved a good performance. Index Terms—medical image, image registration, Spatial information, Feature characteristics, Mutual information

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