Medical Image Registration Using Particle Swarm Optimization Algorithm with Mutation Operation

摘要：

Image registration based on mutual information is of high accuracy and robustness.Hence,it has received much attention these years.Unfortunately,the mutual information function is generally not a smooth function but one containing many local maxima,which has a large influence on optimization.PSO has fewer parameters to control and can find the best solution quickly and guarantee to be global convergent.This paper proposes a registration method based on wavelet transform.In this method the mutual information is used as the similarity measure and a hybrid algorithm combined by PSO algorithm and a mutation the search technique.This method is applied to the 2D registration of MRI.Experiment results show that this registration method could efficiently restrain local maxima of mutual information function and not only it can improve accuracy and speed but also the subvoxel accuracy can be achieved.

关键词： Image registration Mutual information Particle Swarm Optimization Algorithm Mutation Operation

作者: Zhijun Zhu Wenbo Xu Jun Sun

作者单位: School of Information Technology,Jiangnan University Wuxi,Jiangsu 214122,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 285-289

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）