Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, TX 77030, USA.
Comput Biol Med. 2011 Dec;41(12):1062-72. doi: 10.1016/j.compbiomed.2010.10.008. Epub 2010 Nov 18.
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.
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。
