title: A review of diffusion tensor magnetic resonance imaging computational methods and software tools.
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.
authors.affiliation: Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, TX 77030, USA. Khader.M.Hasan@uth.tmc.edu
authors.forename: Khader M
authors.initials: KM
authors.lastname: Hasan
authors.forename: Indika S
authors.initials: IS
authors.lastname: Walimuni
authors.forename: Humaira
authors.initials: H
authors.lastname: Abid
authors.forename: Klaus R
authors.initials: KR
authors.lastname: Hahn
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology; D001931:Brain Mapping / Q000295:instrumentation / Q000379:methods*; D056324:Diffusion Tensor Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical; D012984:Software