CT/MR Image Registration Combined Multi-Resolution with Hybrid Search Strategy

摘要：

In this paper, we suggest one method to process images registration to promote time and precise combined mutual information with multi-resolution using hybrid search strategy. Multi-resolution strategy is benefit to reduce search space in global optimization of genetic algorithm and also provides initial population from lower resolution result. Combination of the mutual information with multiresolution to realize hybrid optimization accelerates convergence of the iterative process.

关键词： multi-resolution mutual information (MI) genetic algorithm (GA) medical image registration Powell

作者: Feng Yang Liang Fang

作者单位: School of Computer Science Technology Heilongjiang University Harbin, Heilongjiang, China Hospital of Harbin Electrical Machinery Harbin, Heilongjiang, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 753-756

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）