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四种活体 g 比值加权成像方法:在组水平上的可比性和可重复性。

Four in vivo g-ratio-weighted imaging methods: Comparability and repeatability at the group level.

机构信息

Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

出版信息

Hum Brain Mapp. 2018 Jan;39(1):24-41. doi: 10.1002/hbm.23858. Epub 2017 Nov 1.

Abstract

A recent method, denoted in vivo g-ratio-weighted imaging, has related the microscopic g-ratio, only accessible by ex vivo histology, to noninvasive MRI markers for the fiber volume fraction (FVF) and myelin volume fraction (MVF). Different MRI markers have been proposed for g-ratio weighted imaging, leaving open the question which combination of imaging markers is optimal. To address this question, the repeatability and comparability of four g-ratio methods based on different combinations of, respectively, two imaging markers for FVF (tract-fiber density, TFD, and neurite orientation dispersion and density imaging, NODDI) and two imaging markers for MVF (magnetization transfer saturation rate, MT, and, from proton density maps, macromolecular tissue volume, MTV) were tested in a scan-rescan experiment in two groups. Moreover, it was tested how the repeatability and comparability were affected by two key processing steps, namely the masking of unreliable voxels (e.g., due to partial volume effects) at the group level and the calibration value used to link MRI markers to MVF (and FVF). Our data showed that repeatability and comparability depend largely on the marker for the FVF (NODDI outperformed TFD), and that they were improved by masking. Overall, the g-ratio method based on NODDI and MT showed the highest repeatability (90%) and lowest variability between groups (3.5%). Finally, our results indicate that the calibration procedure is crucial, for example, calibration to a lower g-ratio value (g = 0.6) than the commonly used one (g = 0.7) can change not only repeatability and comparability but also the reported dependency on the FVF imaging marker. Hum Brain Mapp 39:24-41, 2018. © 2017 Wiley Periodicals, Inc.

摘要

一种新的方法,即活体 g 比值加权成像,将微观 g 比值(仅通过离体组织学获得)与纤维体积分数(FVF)和髓鞘体积分数(MVF)的非侵入性 MRI 标记物联系起来。已经提出了不同的 MRI 标记物用于 g 比值加权成像,这就留下了一个问题,即哪种成像标记物的组合是最佳的。为了解决这个问题,在两组扫描-重扫实验中,测试了基于 FVF 的两种成像标记物(束纤维密度,TFD 和神经纤维各向异性和密度成像,NODDI)和两种 MVF 成像标记物(磁化传递饱和率,MT,以及从质子密度图得出的大分子组织体积,MTV)的不同组合的四种 g 比值方法的重复性和可比性。此外,还测试了在群体水平上对不可靠体素(例如,由于部分容积效应)进行掩蔽以及用于将 MRI 标记物与 MVF(和 FVF)相关联的校准值这两个关键处理步骤如何影响重复性和可比性。我们的数据表明,重复性和可比性在很大程度上取决于 FVF 的标记物(NODDI 优于 TFD),并且掩蔽可以提高它们的重复性和可比性。总体而言,基于 NODDI 和 MT 的 g 比值方法具有最高的重复性(90%)和组间最低的变异性(3.5%)。最后,我们的结果表明,校准过程至关重要,例如,与常用的校准值(g=0.7)相比,对校准值进行较低的校准(g=0.6)不仅会改变重复性和可比性,还会改变对 FVF 成像标记物的依赖性。人类大脑映射 39:24-41,2018。©2017 Wiley Periodicals, Inc.

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