dti (version 0.8-1)

dti-package: DTI Analysis

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 Tabelow et al. (2008).

Details

ll{ Package: dti Version: 0.5-7 Date: 2008-07-24 Depends: R (>= 2.5.0), adimpro, fmri, rgl License: GPL (>=2) Copyright: 2008 Weierstrass Institute for Applied Analysis and Stochastics. URL: http://www.wias-berlin.de/projects/matheon_a3 }

The package is based on S4 classes and methods. For help on a specific topic use class ? for classes, methods ? for methods and ? for all other functions.

Index: dti-class Classes "dti", "dtiData", "dtiTensor", "dtiIndices"

dtiData Read Diffusion Weighted Data from Image File readDWIdata Read Diffusion Weighted Data from Directory

dti.smooth Structural Adaptive Smoothing

dtiTensor-methods Methods for Function 'dtiTensor' dtiIndices-methods Methods for Function 'dtiIndices'

extract-methods Methods for Function 'extract' plot-methods Methods for Function 'plot' show3d-methods Methods for Function 'show3d' print-methods Methods for Function 'print' summary-methods Methods for Function 'summary'

tensor2medinria Write Tensor Data as NIFTI File medinria2tensor Read Tensor Data from NIFTI File

References

Tabelow, K. and Polzehl, J. and Spokoiny, V. and Voss, H. U. (2008) Diffusion Tensor Imaging: Structural adaptive smoothing, NeuroImage 39(4), 1763--1773.

Polzehl, J. and Tabelow, K. (2008) Structural Adaptive Smoothing in Diffusion Tensor Imaging: the R package dti, WIAS-Preprint 1382.

http://www.wias-berlin.de/projects/matheon_a3/

Examples

demo(dti_art)