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