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无模型全局束追踪。

Modelfree global tractography.

机构信息

Institute of Physics, Kazan (Volga Region) Federal University, Russia.

Institute of Physics, Kazan (Volga Region) Federal University, Russia.

出版信息

Neuroimage. 2018 Jul 1;174:576-586. doi: 10.1016/j.neuroimage.2018.03.058. Epub 2018 Mar 29.

Abstract

Tractography based on diffusion-weighted MRI investigates the large scale arrangement of the neurite fibers in brain white matter. It is usually assumed that the signal is a convolution of a fiber specific response function (FRF) with a fiber orientation distribution (FOD). The FOD is the focus of tractography. While in the past the FRF was estimated beforehand and was usually assumed to be fix, more recent approaches estimate the response function during tractography. This work proposes a novel objective function independent of the FRF, just aiming for FOD reconstruction. The objective is integrated into global tractography showing promising results.

摘要

基于弥散加权磁共振成像的束流追踪技术研究脑白质中神经纤维的大规模排列。通常假设信号是纤维特定响应函数(FRF)与纤维方向分布(FOD)的卷积。FOD 是束流追踪的重点。虽然过去 FRF 是事先估计的,并且通常假定为固定的,但最近的方法在束流追踪过程中估计响应函数。这项工作提出了一种新的与 FRF 无关的目标函数,旨在重建 FOD。该目标被集成到全局束流追踪中,取得了有希望的结果。

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