摘要
针对脑功能成像中图像配准的优化模型,提出了一种基于记忆的禁忌算法。数值试验表明该算法是可行的、有效的。应用此算法求解医学图像配准的优化模型,可实现时间序列脑功能图像的高精度配准。
For the brain functional image registration optimization problem, we presented a new Taboo search based on memory, named the memory taboo search. Numerical results illustrate that this algorithm is efficient, robust and easy to implement. We find out higher accurate registration of the time series brain functional images by solving the images registration optimization problem.
出处
《工程数学学报》
CSCD
北大核心
2005年第2期244-248,共5页
Chinese Journal of Engineering Mathematics
基金
国家科技部九七三前期专项(2001CCA00700)国家自然科学基金(90103033)
关键词
医学图像配准
禁忌算法
记忆禁忌算法
medical images registration
taboo search
memory taboo search