neuroconductor-devel-releases/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.
Getting started
Browse package contents
Package details |
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| Author | Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker [ctb] |
| Maintainer | Karsten Tabelow <karsten.tabelow@wias-berlin.de> |
| License | GPL (>= 2) |
| Version | 1.5.1 |
| URL | http://www.wias-berlin.de/research/ats/imaging/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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