Package: dti
Version: 1.2-6.1
Date: 2016-10-08
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")))
Depends: R (>= 3.1.0), awsMethods (>= 1.0-1), adimpro, rgl
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) 2005-2016 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/research/ats/imaging/
NeedsCompilation: yes
Packaged: 2016-10-10 09:18:36 UTC; tabelow
Author: Karsten Tabelow [aut, cre],
  Joerg Polzehl [aut],
  Felix Anker [ctb]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Repository: CRAN
Date/Publication: 2016-10-10 13:51:51
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 05:04:36 UTC; windows
Archs: i386, x64
