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

Authors:
Khader M. Hasan;Indika S. Walimuni;Humaira Abid;Klaus R. Hahn
Affiliations:
Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, 6431 Fannin Street, MSB 2.100, Houston, TX 77030, USA;Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, 6431 Fannin Street, MSB 2.100, Houston, TX 77030, USA;Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, 6431 Fannin Street, MSB 2.100, Houston, TX 77030, USA;Institute of Biomathematics & Biometry, Helmholtz Zentrum Müünchen, German Research Center for Environment and Health, Neuherberg, Germany
Venue:
Computers in Biology and Medicine
Year:
2011

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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.