Medical image registration algorithm based on Powell algorithm and improved genetic algorithm
LI Chao1*, LI Guangyao1, TAN Yunlan2,1, XU Xianglong1
1. College of Electronics and Information, Tongji University, Shanghai 201804, China;
2. College of Electronics and Information Engineering, Jinggangshan University, Jinggangshan Jiangxi 343009, China
Abstract：Concerning the faults of local extremum in image registration based on mutual information, a new medical image registration method based on Powell and improved genetic algorithm was proposed in this paper. It put forward an improved method regarding the shortcomings of the standard genetic algorithm, such as slow convergence and prematurity that will result in artifacts, and generated the iteration individual by Logistic chaos map. This method utilized the multi-resolution analysis strategy and searched for the optimal of the objective function by this hybrid optimized algorithm in the lowest resolution image level. Then it continued the optimization course and accomplished the image registration by this optimal data with the Powell algorithm. The experimental results indicate that this algorithm can effectively improve the image registration velocity and avoid local extremum of the operator while getting better performance of image precision in contrast to the Powell algorithm and unimproved genetic algorithm.
李超 李光耀 谭云兰 徐祥龙. 基于Powell算法与改进遗传算法的医学图像配准方法[J]. 计算机应用, 2013, 33(03): 640-644.
LI Chao LI Guangyao TAN Yunlan XU Xianglong. Medical image registration algorithm based on Powell algorithm and improved genetic algorithm. Journal of Computer Applications, 2013, 33(03): 640-644.
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2013, Vol. 33 
