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

Package: dti
Version: 0.9-3.1
Date: 2010-11-10
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 (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) 2005-2010 Weierstrass
Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3
Packaged: 2010-11-10 14:52:27 UTC; tabelow
Repository: CRAN
Date/Publication: 2010-11-11 12:40:25