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基于Legendre矩的CT及MR医学图象融合方法

汪家旺1, 舒华忠1, 罗立民1, 葛云1, 翁学军1(东南大学生物科学与医学工程系,南京 210096)

摘 要
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Legendre矩的CT和MR多模态医学图象配准、融合方法,并运用二维9数据图象的Legendre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两模态图象的配信、融合,还优化了Legendre矩的快速算法和提高了应用Legendre矩配准CT和MR图象的速度。实验表明,利用Legendre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,Legendre矩在医学影象诊断、放疗计划系统等方面也具有重要的应用价值。
关键词
The Way of Medical Image Fusion Usingthe Legendre Orthogonal Moment

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Abstract
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.
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