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
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- Depends2 packages
- Imports8 packages
- Suggests1 package