Package: dti
Version: 1.3-0
Date: 2018-02-20
Title: Analysis of Diffusion Weighted Imaging (DWI) Data
Authors@R: c(person("Karsten", "Tabelow", role = c("aut", "cre"), email
        = "karsten.tabelow@wias-berlin.de"), person("Joerg", "Polzehl",
        role = c("aut"), email = "joerg.polzehl@wias-berlin.de"),
        person("Felix", "Anker", role = c("ctb")))
Author: Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker
        [ctb]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Depends: R (>= 3.1.0), awsMethods (>= 1.0-1), adimpro, rgl
SystemRequirements: gsl
Imports: methods, parallel, oro.nifti (>= 0.3.9), oro.dicom, gsl,
        quadprog
LazyData: TRUE
Description: Diffusion Weighted Imaging (DWI) is a Magnetic Resonance
        Imaging modality, that measures diffusion of water in tissues
        like the human brain. The package contains R-functions to
        process diffusion-weighted data. The functionality includes
        diffusion tensor imaging (DTI), diffusion kurtosis imaging
        (DKI), modeling for high angular resolution diffusion weighted
        imaging (HARDI) using Q-ball-reconstruction and tensor mixture
        models, several methods for structural adaptive smoothing
        including POAS and msPOAS, and a streamline fiber tracking for
        tensor and tensor mixture models. The package provides
        functionality to manipulate and visualize results in 2D and 3D.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2005-2018 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/research/ats/imaging/
Suggests: 
    covr,
    testthat
RoxygenNote: 6.1.0
Encoding: UTF-8
Repository: Neuroconductor-Devel-Releases
Remotes:  
    neuroconductor-devel-releases/oro.nifti@ff2e580e2633ecbdba47c495be2389904b3105b2,
    neuroconductor-devel-releases/oro.dicom@143f8123f6a40924a72ef649ba96337243d66936
biocViews: 
