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.

Package details

AuthorKarsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker [ctb]
MaintainerKarsten Tabelow <karsten.tabelow@wias-berlin.de>
LicenseGPL (>= 2)
URL http://www.wias-berlin.de/research/ats/imaging/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the dti package in your browser

Any scripts or data that you put into this service are public.

dti documentation built on Feb. 29, 2020, 1:08 a.m.