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《Journal of Dalian University of Technology》 2004-05
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A method for multimodality medical image registration based on particle swarm optimization

FENG Lin~(*1,2), ZHANG Ming-ju~1, HE Ming-feng~(1,3), QI Zheng-jun~1, TENG Hong-fei~2 ( 1.Inst. of Univ. Students′ Innovation, Dalian Univ. of Technol., Dalian 116024, China; 2.School of Mech. Eng., Dalian Univ. of Technol., Dalian 116024, China; 3.Dept. of Appl. Math., Dalian Univ. of Technol., Dalian 116024, China )  
Multimodality medical image registration plays an important role in clinical diagnosis and therapy planning. A novel automatic registration method based on contour feature points and particle swarm optimization (PSO) is presented. Firstly, the images are pretreated by using rust and expansion operations, and the edges of images are detected by using region growth method; then an algorithm called subtractive is used to educe the contour feature points; the minimum value of the root-mean-square for the two feature point sets is regarded as the registration principle; finally, the translation parameters are calculated by using PSO algorithm. The experiments help illustrate that this method is efficient for multimodality medical image registration and has many advantages, such as simplicity, robustness and can avoid getting into local minimum, etc.
【Fund】: 国家自然科学基金资助项目(50275019);; 教育部博士学科点专项科研基金资助项目(20010441005).
【CateGory Index】: TP391.4
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