Medical image registration algorithm research based on mutual information similarity measure

Jianping Zhao; Huamin Yang; Ying Ding

doi:10.1117/12.790753

19 February 2008 Medical image registration algorithm research based on mutual information similarity measure

Jianping Zhao, Huamin Yang, Ying Ding

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 662506 (2008) https://doi.org/10.1117/12.790753
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Medical image registration is one basic task in medical image processing. It can align multi images coming from different modes or time, and then it offer guarantee to images post processing. In this article we mainly research the mutual information matching method, and using image pixel grey to compute mutual information. We put forward improved registration algorithm. We compare improved mutual information registration method and classical first grade mutual information and second grade mutual information registration method. During aligning, by extracting image feature signs or edge information, using them as reference feature value of two images aligning information and improving multi parameters optimization algorithm, we get satisfactory experimental results. Regarding to the two-dimensional medical image registration, we utilized the improved method combining gradient information and mutual information, has solved the question of partial extreme value without spatial information when pure use the mutual information. The feasibility of this algorithm is proved by corresponding experiments.

Citation Download Citation

Jianping Zhao, Huamin Yang, and Ying Ding "Medical image registration algorithm research based on mutual information similarity measure", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662506 (19 February 2008); https://doi.org/10.1117/12.790753

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