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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