dtiIndices

dtiIndices-methods

dtiIndices,ANY-method

dtiIndices,dtiTensor-method

object

Indices should be created, currently not implemented.

which

The method creates estimates of the fractional anisotropy (FA) and relative anisotropy (RA) indices, the main directions of anisotropy and several statistics used for visualization.

manip

models

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).

Karsten Tabelow

DTI/DWI Analysis

dtiIndices-methods function

Methods for Function `dtiIndices' in Package `dti'

dtiIndices-methods: Methods for Function `dtiIndices' in Package `dti'

Description

Usage

Arguments

Value

See Also

Examples