Toward tract-specific fractional anisotropy (TSFA) at crossing-fiber regions with clinical diffusion MRI.
Toward tract-specific fractional anisotropy (TSFA) at crossing-fiber regions with clinical diffusion MRI.
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DOI：
10.1002/mrm.25548
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发表时间：
2015-12
影响因子：
3.3
通讯作者：
Huang, Hao
中科院分区：
文献类型：
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作者：
Mishra, Virendra;Guo, Xiaohu;Delgado, Mauricio R.;Huang, Hao
关键词：
白色物质各向异性分数（FA）是一个衡量微观结构的指标，在交叉纤维区（CFR），被显著低估的单扩散张量模型。我们提出了一个特定的道FA（TSFA），校正交叉纤维几何形状和自由水在CFR的影响，并适用于道分析与扩散MRI（dMRI）在临床研究中。在CFR体素，所提出的技术估计游离水分数（fiso）作为平均表观扩散系数（mADC）的线性函数，适合双张量和估计TSFA。设计了数字模型，用于测试fiso的精度，并在CFR下拟合了双各向异性。将该技术应用于正常人和遗传性痉挛性截瘫（HSP）患者的临床dMRI，以测试TSFA的有效性。体模模拟显示CFR下双张量各向异性的无偏估计和fiso作为mADC线性函数的高精度。CFR处的TSFA与正常人dMRI相同道内非CFR处的单张量FA高度一致。与临床运动功能评分显著相关的其他HSP成像生物标志物可以用TSFA鉴定。结果表明，所提出的技术在估计无偏TSFA在CFR和进行道分析在临床研究中的潜力。
White matter fractional anisotropy (FA), a measure implying microstructure, is significantly underestimated with single diffusion tensor model at crossing-fiber regions (CFR). We propose a tract-specific FA (TSFA), corrected for the effects of crossing-fiber geometry and free water at CFR, and adapted for tract analysis with diffusion MRI (dMRI) in clinical research. At CFR voxels, the proposed technique estimates free water fraction (fiso) as a linear function of mean apparent diffusion coefficient (mADC), fits the dual tensors and estimates TSFA. Digital phantoms were designed for testing the accuracy of fiso and fitted dual-anisotropies at CFR. The technique was applied to clinical dMRI of normal subjects and hereditary spastic paraplegia (HSP) patients to test the effectiveness of TSFA. Phantom simulation showed unbiased estimates of dual-tensor anisotropies at CFR and high accuracy of fiso as a linear function of mADC. TSFA at CFR was highly consistent to the single tensor FA at non-CFR within the same tract with normal human dMRI. Additional HSP imaging biomarkers with significant correlation to clinical motor function scores could be identified with TSFA. Results suggest the potential of the proposed technique in estimating unbiased TSFA at CFR and conducting tract analysis in clinical research.
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影响因子：
5.7
作者：
Fritzsche, Klaus H.;Laun, Frederik B.;Stieltjes, Bram
通讯作者：
Stieltjes, Bram
影响因子：
7.6
作者：
Huang, Hao;Gundapuneedi, Tejasvi;Rao, Uma
通讯作者：
Rao, Uma
影响因子：
3.3
作者：
Anderson, AW
通讯作者：
Anderson, AW
影响因子：
4.8
作者：
Jeurissen, Ben;Leemans, Alexander;Sijbers, Jan
通讯作者：
Sijbers, Jan
DOI：
10.1038/npp.2010.199
发表时间：
2011-02
期刊：
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
影响因子：
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作者：
通讯作者：
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