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.
- Version1.5.4.3
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- dti citation info
- Last release09/26/2024
Documentation
Team
Karsten Tabelow
Joerg Polzehl
Show author detailsRolesAuthorFelix Anker
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 731 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 7,559 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Mar 07, 2025 with 115 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports7 packages
- Suggests1 package