Analysis of diffusion weighted imaging (DWI) data
Karsten Tabelow <tabelow@wias-berlin.de> Joerg Polzehl
<polzehl@wias-berlin.de>
R (>= 2.10.0), methods, adimpro, fmri, rgl, gsl
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.
This package is Copyright (C) 2005-2011 Weierstrass
Institute for Applied Analysis and Stochastics.