A Medical Image Registration Method Based On Gravity Optimization

摘要：

The medical image registration method based on mutual information (MI) has the advantage of high precision, and not have to do any pretreatment. However, there may be local matches, or error brings by interpolation calculation, so the objective function contains many local maximums. In this paper, a novel image registration method, called Gravity Optimization (GO), is proposed for rigid registration of brain medical images, and compares the performance with Powell algorithm and Particle Swarm Optimization (PSO). The experiments of the 2D and 3D rigid registration of clinical brain images show that gravity optimization algorithm has a better performance at the rate of registration and global optimization.

关键词： medical image registration gravity optimization mutual information Powell algorithm PSO

作者: Qiu Yina Li Junli Wei Ping Jin Linpeng Jin Wei

作者单位: Institute of DSP and Software Techniques Ningbo University Ningbo,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）