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: | 
1.5.4.3 | 
| 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: | 
2024-09-26 | 
| DOI: | 
10.32614/CRAN.package.dti | 
| 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: | 
https://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 | 
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