In this paper, a medical image registration based on Renyi’s quadratic mutual information is proposed. Firstly, the initial values (i.e. the translation and rotation parameters) for aligning the floating image with the reference image are obtained by computing the medical image centroids and moments. Then, when exploring the optimal geometric transformation parameters, the Renyi’s quadratic mutual information is taken as the similarity criterion between the reference and floating images. Finally, the Simplex method, as multi-parameter optimization one, is used to search the optimal registering values in the experiments. The experimental results reveal that, the proposed method has a lower computational load, faster registration and better registration accuracy compared with the registration method based on the Shannon mutual information. It can cater to both mono-modality and multi-modality image registrations.

本文提出了一种基于Renyi二次互信息的医学图像配准。首先，通过计算医学图像的质心和力矩，获得浮动图像与参考图像对齐的初始值（即平移和旋转参数）。然后，在探索最佳几何变换参数时，将Renyi二次互信息作为参考图像与浮动图像之间的相似性准则。最后，Simplex方法作为多参数优化方法，用于搜索实验中的最佳配准值。实验结果表明，与基于香农互信息的配准方法相比，该方法计算量小，配准速度快，配准精度高。