基于皮质等高线映射的脑图像配准

C. Davatzikos, Jerry L Prince, R. Bryan
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引用次数: 3

摘要

针对脑图像配准问题,提出了一种新的非线性配准技术。在作者技术的第一步中,他们使用弹性字符串算法在大脑图像的外皮层轮廓之间获得点对点映射。在第二步中,作者基于第一步中建立的点对点对应关系对两幅图像进行配准。他们提出了一种新的非线性配准变换,它基于空间变量缩放和关系,可以描述高度非线性变形。最后,作者在两个不同的配准问题上测试了他们的算法:他们首先考虑对狒狒大脑横截面的死后照片进行配准,然后是对大致相同横截面的核磁共振图像进行配准。
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Brain image registration based on cortical contour mapping
The authors address the problem of brain image registration, and they present a new, nonlinear registration technique. In the first step of the authors' technique they obtain a point-to-point mapping between the outer cortical contours of the brain images using an elastic string algorithm. In the second step the authors register the two images based on the point-to-point correspondence established in the first step. They propose a new, nonlinear registration transformation, which is based on a spatially variable scaling and relation that can describe highly nonlinear deformations. Finally, the authors test their algorithm on two different registration problems: they first consider the registration of a postmortem photograph of a baboon brain cross-section and then an MR image of approximately the same cross-section.<>
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