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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The inverse problem is solved using conjugate gradient method of minimization based on discrete ordinates method of radiative transfer equation.

该方法是在辐射传递方程离散坐标近似的基础上，用求目标函数极小值的共轭梯度法进行反演计算。

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Generally, to nonlinear problem, gradient-based method is faster than simple method, and may improve efficiency due to using conjugate variables to calculate object function value.

梯度法对许多非线性问题均具有较好的性能，计算目标函数可以使用新的共轭变量法，有望显著提高寻优效率。

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