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大脑的扩散张量成像

Diffusion tensor imaging of the brain.

作者信息

Alexander Andrew L, Lee Jee Eun, Lazar Mariana, Field Aaron S

机构信息

Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.

出版信息

Neurotherapeutics. 2007 Jul;4(3):316-29. doi: 10.1016/j.nurt.2007.05.011.

Abstract

Diffusion tensor imaging (DTI) is a promising method for characterizing microstructural changes or differences with neuropathology and treatment. The diffusion tensor may be used to characterize the magnitude, the degree of anisotropy, and the orientation of directional diffusion. This review addresses the biological mechanisms, acquisition, and analysis of DTI measurements. The relationships between DTI measures and white matter pathologic features (e.g., ischemia, myelination, axonal damage, inflammation, and edema) are summarized. Applications of DTI to tissue characterization in neurotherapeutic applications are reviewed. The interpretations of common DTI measures (mean diffusivity, MD; fractional anisotropy, FA; radial diffusivity, D(r); and axial diffusivity, D(a)) are discussed. In particular, FA is highly sensitive to microstructural changes, but not very specific to the type of changes (e.g., radial or axial). To maximize the specificity and better characterize the tissue microstructure, future studies should use multiple diffusion tensor measures (e.g., MD and FA, or D(a) and D(r)).

摘要

扩散张量成像(DTI)是一种很有前景的方法,可用于表征微观结构变化或与神经病理学及治疗相关的差异。扩散张量可用于表征扩散的大小、各向异性程度以及方向扩散的方向。本综述阐述了DTI测量的生物学机制、采集和分析。总结了DTI测量与白质病理特征(如缺血、髓鞘形成、轴突损伤、炎症和水肿)之间的关系。综述了DTI在神经治疗应用中对组织特征的应用。讨论了常见DTI测量指标(平均扩散率,MD;分数各向异性,FA;径向扩散率,D(r);以及轴向扩散率,D(a))的解释。特别是,FA对微观结构变化高度敏感,但对变化类型(如径向或轴向)的特异性不强。为了最大化特异性并更好地表征组织微观结构,未来的研究应使用多种扩散张量测量指标(如MD和FA,或D(a)和D(r))。

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Diffusion tensor imaging of the brain.大脑的扩散张量成像
Neurotherapeutics. 2007 Jul;4(3):316-29. doi: 10.1016/j.nurt.2007.05.011.

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