扩散张量图像的差分匹配。

Yan Cao, Michael I Miller, Susumu Mori, Raimond L Winslow, Laurent Younes
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引用次数: 0

摘要

本文提出了一种通过张量场在图像体积上的大变形差构度量映射来匹配扩散张量磁共振图像(DT-MRI)的方法,从而优化连接两个扩散张量图像的差构空间上的大地线。详细介绍了从粗到细的多分辨率和多核宽方案,以减少模糊性和计算负荷。DT-MRI 大脑和图像的数值实验对此进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffeomorphic Matching of Diffusion Tensor Images.

This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of tensor fields on the image volume, resulting in optimizing for geodesics on the space of diffeomorphisms connecting two diffusion tensor images. A coarse to fine multi-resolution and multi-kernel-width scheme is detailed, to reduce both ambiguities and computation load. This is illustrated by numerical experiments on DT-MRI brain and images.

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