Image registration based on improved gradient vector flow and maximization of mutual information
Xiuyou Wang, Jiwen Wang · Jisuanji gongcheng yu sheji · 2007
Multimodality medical image registration based on maximization of mutual information has been popular in medical image processing fields. Mutual information(MI)is successfully used as a similarity measure for both mono-and multimodality image regi- stration. However, MI measurement only takes statistical intensity information into account, and ignores spatial information in the images. A novel approach to incorporate spatial information into MI through gradient vector flow(GVF)is proposed. Multimodality brain image registration is performed to test the accuracy and robustness of the proposed method.