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), diffusion kurtosis imaging (DKI), modeling for high angular resolution diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture models, several methods for structural adaptive smoothing including POAS and msPOAS, 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: 1.1-7
Depends: R (≥ 2.14.0), awsMethods (≥ 1.0-1)
Imports: methods, parallel, oro.nifti (≥ 0.3.9), oro.dicom, adimpro, gsl, rgl
Suggests: quadprog
Published: 2013-11-26
Author: Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker [ctb]
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
Materials: ChangeLog
In views: MedicalImaging
CRAN checks: dti results


Reference manual: dti.pdf
Package source: dti_1.1-7.tar.gz
MacOS X binary: dti_1.1-7.tgz
Windows binary: dti_1.1-7.zip
Old sources: dti archive