Analysis of Diffusion Weighted Imaging (DWI) Data
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 35includes a package overview page
- Examples that run
- 0%10 never run
- Exported functions with examples
- 22%
- Documented parameters
- 88%
- Return-value docs
- 89%
- Help pages citing references
- 37%
Also includes 2 demo scripts (run with demo())
Downloads
Dependencies
Installing dti adds 39 packages (24 with compiled code, 34 MB of source tarballs). Heaviest: bslib 5.6 MB, oro.nifti 5.0 MB, rgl 4.0 MB.
Code & Tests
Datasets
People & History
Maintainer since 0.5-4 (2008)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- unarchivedReturned to CRAN2020-02-28
- archivedRemoved from CRAN2020-01-11check problems were not corrected in time Especially '-fno-common' (gcc 10 default) Also attempts to mix C++ and Fortran with OpenMP despite explicit warnings in WRE
- unarchivedReturned to CRAN2019-11-15
- archivedRemoved from CRAN2019-11-09installation problems were not corrected in time Attempted use of Fortran OpenMP without specifying Fortran to link
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
Show 64 earlier eventsHide 64 earlier events
- RR 3.1.0 released · 2014-04-10
- 3.0.3Latest2013-11-21 · current release · diff ↗ ·
removed 2 exports
pmatrix, plmatrixadded 2 exports
afsigmc, dkiIndices - RR 3.0.0 released · 2013-04-03
- 3.0.02013-03-25 · diff ↗
- 2.15.3
- RR 2.15.0 released · 2012-03-30
- 2.15.0
- 2.14.12011-12-07 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 2.14.02011-10-24 · diff ↗
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- RR 2.13.0 released · 2011-04-13
- 2.13.02011-03-24 · diff ↗
- 2.12.12010-11-10 · diff ↗
- RR 2.12.0 released · 2010-10-15
- 2.12.02010-07-15 · diff ↗
- 2.11.12010-05-10 · diff ↗
- RR 2.11.0 released · 2010-04-22
- 2.11.02010-04-07 · diff ↗
- RR 2.10.0 released · 2009-10-26
- 2.10.02009-10-12 · diff ↗
- RR 2.9.0 released · 2009-04-17
- 2.9.02009-04-15 · diff ↗
- 2.8.1
- RR 2.8.0 released · 2008-10-20
- 2.7.1
- 1.5.4.32024-09-26 · diff ↗
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- 1.5.12020-02-28 · diff ↗
- 1.4.3.12019-11-18 · diff ↗
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- 1.4.22019-09-30 · diff ↗
- 1.4.12019-07-10 · diff ↗
- 1.4
- 1.3-0.32018-12-20 · diff ↗
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- 1.2-62016-09-14 · diff ↗
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- 1.1-72013-11-26 · diff ↗
- 1.1-4
- 1.1-02012-11-28 · diff ↗
- 1.0-32012-05-23 · diff ↗
- 1.0-0.12011-12-07 · diff ↗
- 1.0-02011-12-01 · diff ↗
- 0.9-6.32011-10-24 · diff ↗
- 0.9-6.22011-06-15 · diff ↗
- 0.9-52011-03-24 · diff ↗
- 0.9-42011-03-08 · diff ↗
- 0.9-3.12010-11-11 · diff ↗
- 0.9-32010-11-10 · diff ↗
- 0.9-2.12010-07-24 · diff ↗
- 0.9-22010-07-07 · diff ↗
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- 0.9-02010-02-23 · diff ↗
- 0.8-22009-10-12 · diff ↗
- 0.8-12009-09-09 · diff ↗
- 0.8-02009-04-15 · diff ↗
- 0.6-02008-12-04 · diff ↗
- 0.5-42008-05-21
- RR 2.7.0 released · 2008-04-22
Package metadata
- First published
- 2008-05-20
- Total releases
- 53 / 18 yrs
- License
- GPL (>= 2) OSI
- Copyright
- This package is Copyright (C) 2005-2020 Weierstrass Institute for Applied Analysis and Stochastics.
- Minimum R
- ≥ 3.5.0
- Bundled data
- 369 KB / 3 files
- Download size
- 546 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("dti")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1007/978-3-030-29184-6_5, 10.1016/j.neuroimage.2007.10.024, 10.1016/j.neuroimage.2014.03.053, 10.1016/j.jneumeth.2011.09.001.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.