Package: dti
Version: 1.0-0.1
Date: 2011-12-07
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 (>= 2.10.0), methods, adimpro, fmri, rgl, gsl
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 stremaline 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) 2005-2011 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3
Repository: CRAN
Date/Publication: 2011-12-07 14:14:25
Packaged: 2011-12-07 12:41:02 UTC; tabelow
