Analysis of diffusion weighted imaging (DWI) data
Description
Diffusion Weighted Imaging 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 in the context of the diffusion tensor
model (DTI). This includes the calculation of anisotropy
measures and, most important, the implementation of our
structural adaptive smoothing algorithm as described in K.
Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss, Diffusion
Tensor Imaging: Structural Adaptive Smoothing, Neuroimage
39(4), 1763-1773 (2008) and J. Polzehl, K. Tabelow, Structure
adaptive smoothing Diffusion Tensor Imaging data: the R Package
dti Journal of Statistical Software, 31, 1-24 (2009).
Additionally the package contains (still experimental) code for
the analysis of high angular resolution diffusion weighted
imaging (HARDI) data and fiber tracking.