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《Beijing Biomedical Engineering》 2005-01
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A Study of PSO and Powell Hybrid Algorithm Applied in Medical Image Registration

FENG Lin 1,2 ,YAN Liang 1,HUANG Degen 1,HE Mingfeng 1,TENG HongFei 2. 1 Undergraduate innovation institute, Dalian University of Technology, Dalian,Liaoning province 116024;2 Institute of Mechanical Engineering, Dalian University of Technology, Dalian,Liaoning province 116024  
Image registration based on mutual information is of high automatization and high accuracy in registration. Hence, it has been widely exploited in medical image registration. Mutual information functions are often unsmooth. There are lots of local maximums, which abversely obstruct optimization algorithms. In this paper, features of mutual information functions are discussed and a hybrid algorithm combined by PSO and Powell is proposed. Experiments show that this hybrid algorithm could efficiently restrain local maximums of mutual information function.Also the registration accuracy could be improved to sub-pixel level.
【Fund】: 国家自然科学基金 (5 0 2 75 0 19);; 教育部博士学科点专项科研基金项目 (2 0 0 10 44 10 0 5 )资助
【CateGory Index】: R318.0
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