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Proceedings Paper

Medical image registration algorithm research based on mutual information similarity measure
Author(s): Jianping Zhao; Huamin Yang; Ying Ding
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Paper 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.

Paper Details

Date Published: 19 February 2008
PDF: 9 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662506 (19 February 2008); doi: 10.1117/12.790753
Show Author Affiliations
Jianping Zhao, Changchun Univ. of Science and Technology (China)
Huamin Yang, Changchun Univ. of Science and Technology (China)
Ying Ding, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications

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