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Proceedings Paper

Medical image registration based on maximization of mutual information and particle swarm optimization
Author(s): Qi Li; Hongbing Ji
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Paper Abstract

In order to provide comprehensive information and improve the accuracy of clinical diagnoses and surgical therapies, medical image fusion is becoming a new hot topic. As the basic and key issue medical image registration has very important meaning. This paper offers a solution to medical image registration based on maximization of mutual information (MI) and particle swarm optimization (PSO). First, the rigid transformation with translational and rotational parameters is applied to the floating image. As an increasingly popular matching criterion for image registration, MI is adopted in this method. Theoretically, the maximization of MI is obtained if the transformed image and the reference image are geometrically aligned. Then an improved PSO algorithm is used to search the registration parameters. The experimental results demonstrate the effectiveness of the proposed registration scheme.

Paper Details

Date Published: 1 May 2007
PDF: 7 pages
Proc. SPIE 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine, 65342M (1 May 2007); doi: 10.1117/12.741328
Show Author Affiliations
Qi Li, Xidian Univ. (China)
Hongbing Ji, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 6534:
Fifth International Conference on Photonics and Imaging in Biology and Medicine

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