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.


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The goal of dti is to provide tools to analysis of Diffusion Weighted Imaging (DWI) Data.

Installation

You can install dti from GitHub with:

devtools::install_github("muschellij2/dti")

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Reference manual

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install.packages("dti")

1.4 by Karsten Tabelow, 12 days ago


http://www.wias-berlin.de/research/ats/imaging/


Browse source code at https://github.com/cran/dti


Authors: Karsten Tabelow [aut, cre] , Joerg Polzehl [aut] , Felix Anker [ctb]


Documentation:   PDF Manual  


Task views: Medical Image Analysis


GPL (>= 2) license


Imports methods, parallel, oro.nifti, oro.dicom, gsl, quadprog

Depends on awsMethods, adimpro, rgl

Suggests covr

System requirements: gsl


See at CRAN