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Inherent spatial structure in myelin water fraction maps.
Magnetic Resonance Imaging ( IF 2.1 ) Pub Date : 2019-10-31 , DOI: 10.1016/j.mri.2019.09.012 Tobias R Baumeister 1 , Shannon H Kolind 2 , Alex L MacKay 3 , Martin J McKeown 4
Magnetic Resonance Imaging ( IF 2.1 ) Pub Date : 2019-10-31 , DOI: 10.1016/j.mri.2019.09.012 Tobias R Baumeister 1 , Shannon H Kolind 2 , Alex L MacKay 3 , Martin J McKeown 4
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Myelin water fraction (MWF) images in brain tend to be spatially noisy with unknown or no apparent spatial patterns structure, so values are therefore typically averaged over large white matter (WM) volumes. We investigated the existence of an inherent spatial structure in MWF maps and explored the benefits of examining MWF values along diffusion tensor imaging (DTI)-derived white matter tracts. We compared spatial anisotropy between MWF and the more widely-used fractional anisotropy (FA) measure. Sixteen major white matter fibre bundles were extracted based on DTI data from 41 healthy subjects. MWF coefficients of variation (CoV) were computed in sub-segments along each fibre tract and compared to MWF CoVs from the surrounding "tubes" - i.e. voxels just exterior to the tract - of each segment. We further assessed the consistency of the MWF along fibre bundles across subjects and investigated the benefit of examining MWF values in sections along each fibre bundle rather than integrating over the whole tract. CoVs of MWF and FA were lower in fibre bundles compared to their enclosing tubes in all investigated tracts. Both measures possessed a spatial gradient of CoV that was smaller aligned along, compared to perpendicular to, the fibre bundles. All WM tracts showed MWF profiles along their trajectory that were consistent across subjects and were more accurate than the mean overall fibre MWF value in estimating ages of the subjects. We conclude that, although less obvious visually, the spatial MWF distribution in white matter consistently follows a distinct pattern along underlying fibre bundles across subjects. Assessing MWF in sections along white matter tracts may provide a sensitive and robust way to assess myelin across subjects.
中文翻译：
髓磷脂水分数图中的固有空间结构。
大脑中的髓磷脂水分数（MWF）图像在空间上趋于嘈杂，具有未知的或没有明显的空间模式结构，因此，通常在较大的白质（WM）体积上对这些值进行平均。我们调查了MWF映射中固有的空间结构的存在，并探讨了沿扩散张量成像（DTI）派生的白质束检查MWF值的好处。我们比较了MWF和更广泛使用的分数各向异性（FA）度量之间的空间各向异性。根据DTI数据从41位健康受试者中提取了16种主要的白质纤维束。MWF变异系数（CoV）在每个纤维束的子段中进行计算，并与每个段的周围“管”（即，束束外部的体素）的MWF CoV进行比较。我们进一步评估了跨受试者的纤维束沿MWF的一致性，并研究了检查沿每个纤维束的截面中MWF值的好处，而不是在整个管道中进行积分。在所有研究领域中，MWF和FA的CoV在纤维束中均低于其封闭管。两种方法都具有CoV的空间梯度，与垂直于纤维束的方向相比，CoV的空间梯度较小。所有WM道沿其轨迹显示的MWF轮廓在受试者之间保持一致，并且比估计受试者年龄的平均总纤维MWF值更准确。我们得出的结论是，尽管在视觉上不太明显，但是白质中的空间MWF分布始终沿着对象之间的基础纤维束遵循不同的模式。
更新日期：2019-11-01
中文翻译：
髓磷脂水分数图中的固有空间结构。
大脑中的髓磷脂水分数（MWF）图像在空间上趋于嘈杂，具有未知的或没有明显的空间模式结构，因此，通常在较大的白质（WM）体积上对这些值进行平均。我们调查了MWF映射中固有的空间结构的存在，并探讨了沿扩散张量成像（DTI）派生的白质束检查MWF值的好处。我们比较了MWF和更广泛使用的分数各向异性（FA）度量之间的空间各向异性。根据DTI数据从41位健康受试者中提取了16种主要的白质纤维束。MWF变异系数（CoV）在每个纤维束的子段中进行计算，并与每个段的周围“管”（即，束束外部的体素）的MWF CoV进行比较。我们进一步评估了跨受试者的纤维束沿MWF的一致性，并研究了检查沿每个纤维束的截面中MWF值的好处，而不是在整个管道中进行积分。在所有研究领域中，MWF和FA的CoV在纤维束中均低于其封闭管。两种方法都具有CoV的空间梯度，与垂直于纤维束的方向相比，CoV的空间梯度较小。所有WM道沿其轨迹显示的MWF轮廓在受试者之间保持一致，并且比估计受试者年龄的平均总纤维MWF值更准确。我们得出的结论是，尽管在视觉上不太明显，但是白质中的空间MWF分布始终沿着对象之间的基础纤维束遵循不同的模式。
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