⚠️There's a newer version (1.5.4) of this package.Take me there.
dti (version 1.0-0.1)
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), structural adaptive smoothing in
in case of (DTI) (K. Tabelow, J. Polzehl, V. Spokoiny,
and H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive Smoothing,
Neuroimage 39(4), 1763-1773 (2008)), modeling for high angular resolution
diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture
models and a stremaline fiber tracking for tensor and tensor mixture models.
The package provides functionality to manipulate and visualize results in 2D and 3D.