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扩散张量磁共振成像计算方法和软件工具综述。

A review of diffusion tensor magnetic resonance imaging computational methods and software tools.

机构信息

Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, TX 77030, USA.

出版信息

Comput Biol Med. 2011 Dec;41(12):1062-72. doi: 10.1016/j.compbiomed.2010.10.008. Epub 2010 Nov 18.

Abstract

In this work we provide an up-to-date short review of computational magnetic resonance imaging (MRI) and software tools that are widely used to process and analyze diffusion-weighted MRI data. A review of different methods used to acquire, model and analyze diffusion-weighted imaging data (DWI) is first provided with focus on diffusion tensor imaging (DTI). The major preprocessing, processing and post-processing procedures applied to DTI data are discussed. A list of freely available software packages to analyze diffusion MRI data is also provided.

摘要

在这项工作中,我们提供了一个最新的计算磁共振成像(MRI)的简短综述,以及广泛用于处理和分析扩散加权 MRI 数据的软件工具。首先,我们回顾了用于获取、建模和分析扩散加权成像数据(DWI)的不同方法,重点介绍了扩散张量成像(DTI)。讨论了应用于 DTI 数据的主要预处理、处理和后处理步骤。还提供了一个可用于分析扩散 MRI 数据的免费软件包列表。

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