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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 |
| 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: | 2023-09-06 |
| 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: | ChangeLog |
| In views: | MedicalImaging |
| CRAN checks: | dti results |
| Reference manual: | dti.pdf |
| Package source: | dti_1.5.4.tar.gz |
| Windows binaries: | r-devel: dti_1.5.4.zip, r-release: dti_1.5.4.zip, r-oldrel: dti_1.5.4.zip |
| macOS binaries: | r-release (arm64): dti_1.5.4.tgz, r-oldrel (arm64): dti_1.5.4.tgz, r-release (x86_64): dti_1.5.4.tgz, r-oldrel (x86_64): dti_1.5.4.tgz |
| Old sources: | dti archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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