dti-package {dti}R Documentation

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

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 ? <class-name> for classes, methods ? <method-name> for methods and ?<function-name> 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

Author(s)

Karsten Tabelow tabelow@wias-berlin.de
Joerg Polzehl polzehl@wias-berlin.de

Maintainer: Karsten Tabelow tabelow@wias-berlin.de

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

  ## Not run: demo(dti_art)

[Package dti version 0.6-0 Index]