dtiTensor

dtiTensor-methods

dtiTensor,ANY-method

dtiTensor,dtiData-method

object

Method for tensor estimation. May be <code>"linear"</code>, or <code>"nonlinear"</code>.

method

Specifies the method for estimating the error variance. May be <code>"replicates"</code>.

varmethod

Specifies the model for the variance. May be <code>"global"</code>, or <code>"local"</code>.

varmodel

The method estimates, in each voxel, the diffusion tensor from the DWI data contained in an object of class <code>"dtiData"</code>.

manip

models

methods

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).

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

Description

Usage

Arguments

Value

References

See Also

Examples