White matter changes in primary dystonia determined by 2D distribution analysis of diffusion tensor images.
White matter changes in primary dystonia determined by 2D distribution analysis of diffusion tensor images.
复制标题
通过扩散张量图像的二维分布分析确定原发性肌张力障碍的白质变化。
DOI：
10.1002/jmri.23805
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Uluǧ,AzizM
中科院分区：
文献类型：
--
作者：
Vo,An;Eidelberg,David;Uluǧ,AzizM
PurposeTo determine brain tissue affected by dystonia by making group comparison of parameter‐based diffusion tensor imaging (DTI) distributions of patients with control subjects. A 2D distribution analysis of mean diffusivity and fractional anisotropy index was used for modeling brain tissues according to the inherent diffusion characteristics.Materials and MethodsSeven affected carriers of the DYT1 dystonia mutation and eight healthy control subjects were imaged for a previous study. We employed a 2D distribution analysis of all the diffusion voxels and a four compartmental brain model for group comparison of the dystonia subjects and controls.ResultsOur analysis showed disease involvement in the white matter of the patients. Excellent tissue characterization was achieved automatically using the 2D distribution analysis based on a physical brain model.ConclusionThis 2D analysis implicated white matter in dystonia and could be useful as a screening tool in diseases with unknown pathologies. J. Magn. Reson. Imaging 2013;37:59–66. © 2012 Wiley Periodicals, Inc.
