中国医疗设备2018，Vol.33Issue(9)：65-70,6.DOI:10.3969/j.issn.1674-1633.2018.09.017
改进的Powell医学图像配准算法的应用
Applications of an Improved Method of Powell Algorithm in Medical Image Registration
邢正伟 1李海瑛1
作者信息
- 1. 昆明市延安医院 设备科,云南 昆明 650051
- 折叠
摘要
Abstract
The medical image registration method based on mutual information similarity measure and Powell optimization algorithm is slow and easy to fall into local minima. To solve these problems, the calculations of joint histogram and the formulas of normalized mutual information were improved. The improved method simplified the calculation process and the similarity measure could reflect the registration degree more accurately. Moreover, to solve the problem of excessive relying on initial point in Powell optimization algorithm, an improved algorithm was designed to obtain the initial registration parameters, which could avoid the local extremum and reduce the number of iterations. Experimental results show that the improved method for medical image registration can achieve sub-pixel accuracy, increase arithmetic speed obviously and is more stable than ordinary Powell algorithm.关键词
互信息/Powell算法/配准/医学图像/联合直方图Key words
mutual information/Powell algorithm/registration/medical image/joint histogram分类
医药卫生引用本文复制引用
邢正伟,李海瑛..改进的Powell医学图像配准算法的应用[J].中国医疗设备,2018,33(9):65-70,6.
