Reorientation of fiber orientation distributions using apodized point spread functions
Reorientation of fiber orientation distributions using apodized point spread functions
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DOI：
10.1002/mrm.23058
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发表时间：
2012-03-01
影响因子：
3.3
通讯作者：
Salvado, Olivier
中科院分区：
文献类型：
--
作者：
Raffelt, David;Tournier, J-Donald;Salvado, Olivier
使用高角分辨率扩散加权图像，球形去卷积使得能够通过计算纤维取向分布（FOD）在单个体素内分辨多个白色物质纤维群体。FOD提供的高阶信息可以改进用于调查白色物质中的群体差异的几种方法，包括图像配准、基于体素的分析、基于图谱的分割和标记以及组平均纤维束成像。所有这些方法都需要FOD的空间归一化。本文提出了一种新的FOD重定向方法，这是FOD空间归一化所需的重要步骤。所提出的方法进行了评估，使用定性和定量实验，数值模拟和体内人体数据。结果表明，所提出的方法提高了FOD重定向精度，消除了不需要的伪影，并减少了计算时间相比，以前的方法。所提出的方法的效用说明了非线性FOD空间归一化的10个人类受试者。FOD的精确重定向和标准化是在多纤维取向的背景下研究白色组织的关键步骤。Magn Reson Med，2012年。(c)2011 Wiley Periodicals，Inc.
Using high angular resolution diffusion-weighted images, spherical deconvolution enables multiple white matter fiber populations to be resolved within a single voxel by computing the fiber orientation distribution (FOD). Higher order information provided by FODs could improve several methods for investigating population differences in white matter, including image registration, voxel-based analysis, atlas-based segmentation and labeling, and group average fiber tractography. All of these methods require spatial normalization of FODs. In this article, a novel method to reorient the FOD is presented, which is an important step required for FOD spatial normalization. The proposed method was assessed using both qualitative and quantitative experiments, with numerical simulations and in vivo human data. Results demonstrate that the proposed method improves FOD reorientation accuracy, removes undesired artefacts, and decreases computation time compared to a previous approach. The utility of the proposed method is illustrated by nonlinear FOD spatial normalization of 10 human subjects. Accurate reorientation and normalization of FODs is a critical step toward investigating white matter tissue in the context of multiple fiber orientations. Magn Reson Med, 2012. (c) 2011 Wiley Periodicals, Inc.