Package: dti
Version: 1.1-4
Date: 2013-03-25
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"))
Author: Karsten Tabelow <karsten.tabelow@wias-berlin.de> Joerg Polzehl
        <joerg.polzehl@wias-berlin.de>
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Depends: R (>= 2.14.0), methods, awsMethods (>= 1.0-1), adimpro,
        oro.nifti (>= 0.3.9), oro.dicom, rgl, gsl, parallel
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), structural adaptive smoothing
        in in case of (DTI) (K. Tabelow, J. Polzehl, V. Spokoiny, and
        H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive
        Smoothing, Neuroimage 39(4), 1763-1773 (2008)), modeling for
        high angular resolution diffusion weighted imaging (HARDI)
        using Q-ball-reconstruction and tensor mixture models 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) 2005-2013 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3
Packaged: 2013-03-25 14:22:11 UTC; polzehl
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-03-25 15:41:10
Built: R 2.14.2; i386-pc-mingw32; 2013-03-29 15:11:18 UTC; windows
Archs: i386, x64
