邻域互信息在磁共振颅脑图像配准的应用

引入了一种新的对互信息的扩展称之为邻域互信息。在计算图像信息熵的过程中，不仅考虑了图像中每点像素的信息，还考虑了每点像素邻域像素的信息，从而增加了配准过程中的稳定性。并抑制了配准过程中，因线性插值和部分体积插值所产生的局部极值情况，平滑了信息熵的曲线。然后采用基于遗传算法和Powell所组成的混合优化算法对信息熵函数进行寻优。实验结果表明该算法具有良好的精确性和有效性。

Application of mutual information of regional in HEAD MRI registration

This paper proposes a novel extension to mutual information called regional mutual information.In the process of com-puting the image information entropy,this method not only considers the information of each pixel,but also considers the neigh-borhood of the pixel,thus increases the stable of registration,reduces the local optimization according by linear interpolation algo-rithm and partial volume interpolation,and effectively smoothes the curve of information entropy.Then uses the mixed optimization algor...