摘要
提出了一种基于轮廓特征点最大互信息的多模态医学图像配准方法,并将粒子群优化算法(PSO)和Powell算法相结合以一种组合的全局优化算法(PPSO)来求取最优配准变换参数。实验结果表明,该方法具有配准精度高、速度快、鲁棒性强等特点,是一种有效地全自动配准方法。
A new method of multi-modality medical image registration based on mutual information of feature points was gived. Combines PSO algorithm and Powell algorithm,then we adop the new combined optimization algorithm as our optimization algorithm to search the best registration parameters. Theories and experiments indicated that this method have the advantages of high precision and good robust.
出处
《激光与红外》
CAS
CSCD
北大核心
2008年第1期96-98,共3页
Laser & Infrared
基金
甘肃省自然科学基金项目(ZS031-A25-006-Z)(2005年)资助
