summary-methods

summary,ANY-method

summary,dti-method

summary,dtiData-method

summary,dtiTensor-method

summary,dtiIndices-method

Object of class <code>"dti"</code>, <code>"dtiData"</code>, <code>"dtiTensor"</code>, or <code>"dtiIndices"</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 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).

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

Description

Usage

Arguments

See Also