基于Legendre矩的CT及MR医学图象融合方法

The Way of Medical Image Fusion Using the Legendre Orthogonal Moment

为了提高 CT、MR多模态医学图象配准、融合的精度和速度 ,提出了基于 L egendre矩的 CT和 MR多模态医学图象配准、融合方法 ,并运用二维数据图象的 L egendre矩正交性和无冗余性的特点 ,通过找出 CT及 MR两种模态医学图象的质心 ,计算出两图象的比例因子 ,从而完成了两图象的平移和旋转 ,并精确地实现了 CT和 MR两模态图象的配准、融合 ,还优化了 L egendre矩的快速算法和提高了应用 L egendre矩配准 CT和 MR图象的速度 .实验表明 ,利用 L egendre矩对 CT和 MR等多模态图象配准、融合 ,不失为一种比较直接、简洁的方法 ;同时 ,L egendre矩在医学影象诊断。

In this paper, we presented the way to register or fuse CT and MR multi-modality image based on the Legendre moment. Because Legendre moment has the merits of orthogonal and minimal information redundancy, by using it, we can find the center of mass of CT and MR images, calculate the scale factor of these images, then the translation and rotation of these images can be performed, these images are registered precisely;Optimizing the Legendre moment's algorithm, we quickened up the registration or fusion of CT and MR images. This method proved to be effective,simple in the registration of multi-modality medical images in our experiment. Legendre moment is also important to the registration and fusion in multi-modality medical image, and in the radiotherapy treatment program system.