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: 1.2-0.1
Depends: R (≥ 2.14.0), awsMethods (≥ 1.0-1), adimpro, rgl
Imports: methods, parallel, oro.nifti (≥ 0.3.9), oro.dicom, gsl, quadprog
Published: 2014-12-16
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) 2005-2014 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/research/ats/imaging/
NeedsCompilation: yes
Citation: dti citation info
Materials: ChangeLog
In views: MedicalImaging
CRAN checks: dti results

Downloads:

Reference manual: dti.pdf
Package source: dti_1.2-0.1.tar.gz
Windows binaries: r-devel: dti_1.2-0.1.zip, r-release: dti_1.2-0.1.zip, r-oldrel: dti_1.2-0.1.zip
OS X Snow Leopard binaries: r-release: dti_1.2-0.1.tgz, r-oldrel: dti_1.2-0.1.tgz
OS X Mavericks binaries: r-release: not available
Old sources: dti archive