神经纤维追踪方法的扩散张量磁共振成像研究

M.M. Tawfik, Y. Kadah
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引用次数: 1

摘要

神经连通性研究对于解释功能磁共振成像(FMRI)数据和大脑体内研究非常重要。通过假设扩散张量的最大主轴与MRI体素中的主要纤维方向对齐,我们可以获得代表每个体素的纤维方向的2D或3D向量场。提出了一种利用扩散张量磁共振成像(DT-MRI)跟踪脑白质纤维的算法,这是目前唯一一种无创研究脑白质束结构的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Nerve Fiber Tracking Methodologies using Diffusion Tensor Magnetic Resonance Imaging
Neural connectivity studies are extremely important for interpreting functional magnetic resonance imaging (FMRI) data and brain in vivo studies. By assuming that the largest principal axis of the diffusion tensor aligns with the predominant fiber orientation in an MRI voxel, we can obtain 2D or 3D vector fields that represent the fiber orientation at each voxel. An algorithm was developed for tracking brain white matter fibers using diffusion tensor magnetic resonance imaging (DT-MRI), which is the only approach now to non-invasively study the architecture of white matter tracts.
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