关键词: 医学图像配准, 归一化互信息向量, 联合概率分布, 熵

Abstract: A novel method for multi-image registration is proposed，which is called the entropy of normalized mutual information vector.This method first calculates joint probability distribution of any two images，and then calculates the normalized mutual information according to it.All the normalized mutual information of two images forms a vector，the normalized mutual information vector.At last the entropy of that vector is calculated.The maximal entropy corresponds to the optimal registration solution.The function curves，computing time and registration accuracy are studied by applying the new method and other three methods to rigid registration of brain images.The obtained results show that the proposed method can improve registration accuracy and decrease registration time.

Key words: medical image registration, normalized mutual information vector, joint probability distribution, entropy