dti (version 1.5.4)

Analysis of Diffusion Weighted Imaging (DWI) Data

Description

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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Install

install.packages('dti')

Monthly Downloads

558

Version

1.5.4

License

GPL (>= 2)

Maintainer

Last Published

September 6th, 2023

Functions in dti (1.5.4)