Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
NMR Biomed. 2017 Dec;30(12). doi: 10.1002/nbm.3787. Epub 2017 Sep 15.
It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking, as well as microstructural modeling of brain tissues. This "crossing fiber" problem has been estimated to affect anywhere from 30% to as many as 90% of white matter voxels, and it is often assumed that increasing spatial resolution will decrease the prevalence of voxels containing multiple fiber populations. The aim of this study is to estimate the extent of the crossing fiber problem as we progressively increase the spatial resolution, with the goal of determining whether it is possible to mitigate this problem with higher resolution spatial sampling. This is accomplished using ex vivo MRI data of the macaque brain, followed by histological analysis of the same specimen to validate these measurements, as well as to extend this analysis to resolutions not yet achievable in practice with MRI. In both dMRI and histology, we find unexpected results: the prevalence of crossing fibers increases as we increase spatial resolution. The problem of crossing fibers appears to be a fundamental limitation of dMRI associated with the complexity of brain tissue, rather than a technical problem that can be overcome with advances such as higher fields and stronger gradients.
现在人们普遍认识到,对于扩散磁共振成像(dMRI)重建和纤维追踪,以及脑组织的微观结构建模,具有交叉纤维或复杂几何结构的体素是一个挑战。据估计,这种“交叉纤维”问题会影响到 30%到 90%的白质体素,而且通常认为增加空间分辨率会降低包含多个纤维群的体素的出现频率。本研究的目的是估计随着空间分辨率的逐步提高,交叉纤维问题的程度,以确定是否可以通过更高分辨率的空间采样来减轻这个问题。这是通过对猕猴大脑的离体 MRI 数据进行分析来实现的,然后对同一标本进行组织学分析,以验证这些测量值,并将这种分析扩展到目前 MRI 还无法实现的分辨率。在 dMRI 和组织学中,我们都发现了意想不到的结果:随着空间分辨率的提高,交叉纤维的出现频率也在增加。交叉纤维的问题似乎是与脑组织复杂性相关的 dMRI 的一个基本限制,而不是一个可以通过更高的场强和更强的梯度等先进技术来克服的技术问题。