Modeling white matter microstructure with fiber ball imaging.

Modeling white matter microstructure with fiber ball imaging.
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DOI:
10.1016/j.neuroimage.2018.04.025
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发表时间:
2018-08-01
期刊:
影响因子:
5.7
通讯作者:
Jensen JH
Jensen JH
中科院分区:
医学1区
文献类型:
--
作者:
McKinnon ET;Helpern JA;Jensen JH

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纤维球成像(FBI)提供了一种从b值约为4000 s/mm 2或更高的球壳上获得的扩散MRI(dMRI)数据计算白色物质中纤维取向密度函数(fODF)的方法。通过补充此FBI衍生的fODF与dMRI数据采集两个较低的b值壳,它示出了几个微结构参数可以估计,包括轴突水分数(AWF)和固有的轴突内扩散。这种纤维球白色物质(FBWM)建模方法证明从健康志愿者获得的dMRI数据,并与白色物质束完整性(WMTI)的方法的结果进行了比较。AWF和FBWM获得的轴突内扩散被发现是显着大于WMTI,与FBWM值轴突内扩散更一致,最近的结果使用各向同性扩散加权。FBWM的一个重要的实际优点是,唯一的非线性拟合所需的是成本函数的最小化,只有一个自由参数,这有利于实现高效和强大的数值例程。
Fiber ball imaging (FBI) provides a means of calculating the fiber orientation density function (fODF) in white matter from diffusion MRI (dMRI) data obtained over a spherical shell with a b-value of about 4000 s/mm2 or higher. By supplementing this FBI-derived fODF with dMRI data acquired for two lower b-value shells, it is shown that several microstructural parameters may be estimated, including the axonal water fraction (AWF) and the intrinsic intra-axonal diffusivity. This fiber ball white matter (FBWM) modeling method is demonstrated for dMRI data acquired from healthy volunteers, and the results are compared with those of the white matter tract integrity (WMTI) method. Both the AWF and the intra-axonal diffusivity obtained with FBWM are found to be significantly larger than for WMTI, with the FBWM values for the intra-axonal diffusivity being more consistent with recent results obtained using isotropic diffusion weighting. An important practical advantage of FBWM is that the only nonlinear fitting required is the minimization of a cost function with just a single free parameter, which facilitates the implementation of efficient and robust numerical routines.
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