Homeomorphic Non-rigid image registration

摘要：

This paper proposed a new method called homeomorphic non-rigid image registration based on physical model. We analyze the conditions for homeomorphic map over continuous space and discrete rectangular grid. The method keeps the Jacobian of deformation within bounds and ensures that the results are one-to-one and reversible. The constrained optimization is solved by interior penalty function method and steepest descent algorithm. Experiments using artificial and magnetic resonance images show the new method gives better registration results than the no constrains one.

关键词： Homeomorphic map Non-rigid image registration Topology preservation Constrained Optimization

作者: Hu Yongxiang Tang Jintian Wen ZhiQiang

作者单位: Institute of Biomedical Engineering, Central South University, Changsha 410083, China Institute of C Institute of Biomedical Engineering, Central South University, Changsha 410083, China Institute of Computer and Communication, Hunan University of Technology, Zhuzhou 412008 China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 282-285

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）