Package: dti
Version: 0.9-2.1
Date: 2010-07-15
Title: Analysis of diffusion weighted imaging (DWI) data
Author: Karsten Tabelow <tabelow@wias-berlin.de> Joerg Polzehl
        <polzehl@wias-berlin.de>
Maintainer: Karsten Tabelow <tabelow@wias-berlin.de>
Depends: R (>= 2.5.0), methods, adimpro, fmri, rgl
Suggests: gsl
Description: Diffusion Weighted Imaging 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 in the context of the diffusion tensor
        model (DTI). This includes the calculation of anisotropy
        measures and, most important, the implementation of our
        structural adaptive smoothing algorithm as described in K.
        Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss, Diffusion
        Tensor Imaging: Structural Adaptive Smoothing, Neuroimage
        39(4), 1763-1773 (2008) and J. Polzehl, K. Tabelow, Structure
        adaptive smoothing Diffusion Tensor Imaging data: the R Package
        dti Journal of Statistical Software, 31, 1-24 (2009).
        Additionally the package contains (still experimental) code for
        the analysis of high angular resolution diffusion weighted
        imaging (HARDI) data and fiber tracking.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2005-2010 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3
Packaged: 2010-07-15 21:42:40 UTC; polzehl
Repository: CRAN
Date/Publication: 2010-07-24 20:09:52
