dti (1.0-3)
Analysis of diffusion weighted imaging (DWI) data.
http://www.wias-berlin.de/projects/matheon_a3
http://cran.r-project.org/web/packages/dti
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.
Maintainer:
Karsten Tabelow
Author(s): Karsten Tabelow <tabelow@wias-berlin.de> Joerg Polzehl <polzehl@wias-berlin.de>
License: GPL (>= 2)
Uses: adimpro, awsMethods, fmri, gsl, oro.dicom, oro.nifti, rgl
Released about 1 year ago.
