summary

summary,dti-method

an object of class <code>dti</code>, <code>dtiData</code>,
<code>dtiTensor</code> or <code>dtiIndices</code>.

object

The function provides summary information for objects of class <code>dti</code>, <code>dtiData</code>,
<code>dtiTensor</code> and <code>dtiIndices</code>.

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: generic function for objects of class "dti", "dtiData", "dtiTensor" and "dtiIndices".

Description

Usage

Arguments

Value

References

See Also

Examples