关键词: 医学图像配准, 归一化互信息, 形态学, Powell算法, 插值赝像

Abstract: 3-D medical image registration based on mutual information is researched in this paper and local maxima are overcome. The MI’s formula is improved to reduce computation cost, and the replacement of Powell’s search direction is also rectified to reserve the search direction and escape local maximum, initial set of rotation can avoid local maximum induced by interpolation anti-facts. Threshold is set to reduce iteration region, morphology method is used to reduce noise of PET image, muti-resolution method is adopted to accelerate the registration. The results show that the modified MI measure can reach sub-voxel precision, and the registration time is reduced obviously, is a robust and precise method.

Key words: Medical image registration, Normalized mutual information, Morphology, Powell search algorithm, Interpolation anti-facts