（6）最大互信息配准法（Maximization of Mutual Information）：互信息是信息论豹一个基本概念，是两个随机变量统计相关性韵测度。Woods嘲使用给出参考像后测试图像的条件熵作为配准的测度。
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The strategy uses the homogeneous matrix, coordinate transfer and the image interpolation to register. Experimental results show that it has more efficiency and higher registration precision than maximization of mutual information whenever in the single sensor or multi-sensor.
实验结果表明，该算法与经典的最大互信息配准算法相比，提高了单传感器和多传感器医学图像配准的精度，并且降低运算复杂度。
参考来源 - 基于拉普拉斯谱的医学图像配准算法·2,447,543篇论文数据，部分数据来源于NoteExpress
Methods Maximization of mutual information method was used in the rigid registration for PET and MRI images of 6 patients.
方法采用最大互信息法对6例患者PET和MRI三维脑图像进行刚体配准。
In these years, multimodality medical image registration based on maximization of mutual information has been popular in medical image processing fields.
近年来基于最大互信息法的多模医学图象配准已成为医学图象处理领域的热点。
This paper aims to research registration of CT and MRI images of caput based on gradient and normalized maximization mutual information method.
本文研究了基于最大互信息和图象梯度组合的人脑CT与MRI多模医学图象配准算法。
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