Package: dti
Version: 1.0-0
Date: 2011-11-30
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
Packaged: 2011-12-01 08:23:53 UTC; tabelow
Repository: CRAN
Date/Publication: 2011-12-01 08:46:11

Package: dti
Version: 1.0-3
Date: 2012-03-29
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 (>= 2.14.0), methods, awsMethods, adimpro, oro.nifti,
oro.dicom, rgl, gsl, parallel, fmri
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
Packaged: 2012-05-23 12:02:30 UTC; tabelow
Repository: CRAN
Date/Publication: 2012-05-23 19:07:43