show-methods

show,ANY-method

show,dti-method

show,dtiData-method

show,dtiTensor-method

show,dkiTensor-method

show,dwiMixtensor-method

show,dtiIndices-method

show,dkiIndices-method

show,dwiFiber-method

 Object of class <code>dtiIndices</code>, <code>dtiData</code>, <code>dtiTensor</code>, <code>dkiTensor</code>, <code>dkiIndices</code>, <code>dwiMixtensor</code>, <code>dwiQball</code> or <code>dwiFiber</code>

object


  The function provides information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>, <code>"dtiData"</code>,
 <code>"dtiTensor"</code>, <code>"dwiMixtensor"</code>, <code>"dtiIndices"</code>, <code>"dwiQball"</code> or <code>"dwiFiber"</code>


 utilities

 methods 

Diffusion Weighted Imaging (DWI) 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. The functionality includes diffusion tensor imaging (DTI),
diffusion kurtosis imaging (DKI), modeling for high angular resolution
diffusion weighted imaging (HARDI) using Q-ball-reconstruction and
tensor mixture models, several methods for structural adaptive
smoothing including POAS and msPOAS, and a streamline fiber tracking
for tensor and tensor mixture models.
The package provides functionality to manipulate and visualize results
in 2D and 3D.

Karsten Tabelow

Analysis of Diffusion Weighted Imaging (DWI) Data

show-methods function

<dl> <dt>x = "ANY"</dt><dd> Generic function. </dd> <dt>x = "dti"</dt><dd> The function provides information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>
                    and classes that extent <code>"dti"</code>. </dd> </dl>

Methods

 Methods for Function `show' in Package `dti' 

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

Description

Usage

Arguments

Methods

See Also