summary-methods

summary,ANY-method

summary,dwi-method

summary,dtiData-method

summary,dtiTensor-method

summary,dkiTensor-method

summary,dwiMixtensor-method

summary,dtiIndices-method

summary,dkiIndices-method

summary,dwiQball-method

summary,dwiFiber-method

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

object

Additional arguments in <code>...</code> are passed to function <code>quantile</code>, e.g. argument <code>probs</code> may be specified here.

The method provides summary information for objects of class <code>"dti"</code>.

methods

utilities

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

summary-methods function

Methods for Function `summary' in Package `dti'

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

Description

Usage

Arguments

See Also