dti: Analysis of diffusion weighted imaging (DWI) data

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 streamline fiber tracking for tensor and tensor mixture models. The package provides functionality to manipulate and visualize results in 2D and 3D.

Version: 1.1-4
Depends: R (≥ 2.14.0), methods, awsMethods (≥ 1.0-1), adimpro, oro.nifti (≥ 0.3.9), oro.dicom, rgl, gsl, parallel
Published: 2013-03-25
Author: Karsten Tabelow Joerg Polzehl
Maintainer: Karsten Tabelow <karsten.tabelow at wias-berlin.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: This package is Copyright (C) 2005-2013 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3
NeedsCompilation: yes
Citation: dti citation info
In views: MedicalImaging
CRAN checks: dti results

Downloads:

Package source: dti_1.1-4.tar.gz
MacOS X binary: dti_1.1-4.tgz
Windows binary: dti_1.1-4.zip
Reference manual: dti.pdf
Old sources: dti archive