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《Acta Electronica Sinica》 2006-05
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Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm

PENG Jing-lin,ZHANG Jing,LI Shu-tao,WANG Lian-hong(School of Electrical and Information Engineering,Hunan University,Changsha,Hunan 410082,China)  
The medical image registration method based on mutual information has been widely used recently.Despite of its advantages over other algorithms,it will introduce artifacts in calculating joint histogram with conventional partial volume(PV) interpolation.In this paper,an expand PV interpolation algorithm with B-spline is proposed to reduce the interpolation artifacts.A hybrid search strategy combined genetic algorithm with Powell′s method is used to find the optimum value.Experimental results indicate the proposed algorithm can achieve better accuracy and robustness.
【Fund】: 国家自然科学基金(No.60402024);; 教育部新世纪优秀人才计划
【CateGory Index】: TP391.41
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