自适应变异差分算法与Powell算法相结合的医学图像配准

图像配准是医学图像处理中的关键技术。文中提出一种自适应差分算法(Difference Algorithm,DE)和Powell算法相结合的多分辨率医学图像配准方法,其不仅可以克服Powell算法依赖初始点的缺点,还可以降低陷入局部极值的几率。首先,对源图像进行多分辨处理,获得包括源图像在内的三层图像；然后,在低分辨率图像上使用自适应DE算法进行全局变换参数的搜索,获得的变换参数作为Powell算法的初始点；最后,在高分辨率图像及源图像上使用Powell算法进行配准。与传统实验相比,该方法具有更高的精确度,能够有效避免局部收敛问题。

Medical Image Registration Based on Self-adaptive DE Algorithm and Powell Algorithm

Image registration is a key technology in medical image processing.This paper proposed a new multi-resolution medical image registration method based on self-adaptive difference algorithm (DE) and Powell algorithm.It can not only overcome the shortcomings of Powell algorithm depending on the initial,but also can reduce the possibility of getting into local extreme value.Firstly,the source image is processed by multi resolution,and the three layer image including the source image is obtained.Secondly,the adaptive DE algorithm is used to search the global transform parameters on the low resolution images.The transformation parameters are obtained as the initial points of the Powell algorithm.Finally,the Powell algorithm is used for registration in both high resolution images and source images.Compared with traditional experiment,this method has higher precision and can effectively avoid local convergence problem.