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: |
1.5.1 |
| Depends: |
R (≥ 3.5.0), awsMethods (≥ 1.1-1) |
| Imports: |
methods, parallel, adimpro (≥ 0.9), aws (≥ 2.4.1), rgl, oro.nifti (≥ 0.3.9), oro.dicom, gsl, quadprog |
| Suggests: |
covr |
| Published: |
2020-02-28 |
| 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) 2005-2020 Weierstrass
Institute for Applied Analysis and Stochastics. |
| URL: |
http://www.wias-berlin.de/research/ats/imaging/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
gsl |
| Citation: |
dti citation info |
| Materials: |
README ChangeLog |
| In views: |
MedicalImaging |
| CRAN checks: |
dti results |
Documentation:
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