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Medical image registration based on hybrid optimization algorithm
一种基于混合优化算法的医学图像配准方法

Keywords: 最大互信息,图像配准,粒子群优化算法,杂交,混沌

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Abstract:

This paper proposed an approach of multimodal medical images registration based on CPSO (chaos particle swarm optimization) algorithm improved by GA (genetic algorithm). And applied MMI to the registration. The method had many advantages such as avoiding optimizer trap into local maxima, quick convergence. The matching results of MRI /CT demonstrate that registration dependent on CPSO algorithm improved by GA is a robust, fast registration method.

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