dtiTensor-class

coerce,dtiTensor,dtiIndices-method

dtiIndices,dtiTensor-method

dti.smooth,dtiTensor-method

plot,dtiTensor-method

Diffusion Tensor object. Containes the results of estimating a diffusion tensor from diffusion weighted image (DWI) data.

classes

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).

Karsten Tabelow

DTI Analysis

dtiTensor-class function

Objects can be created by calls to functions <code><a href="/link/dtiTensor?package=dti&version=0.5-4" rd-options="" data-mini-rdoc="dti::dtiTensor">dtiTensor</a></code>,  <code><a href="/link/dti.smooth?package=dti&version=0.5-4" rd-options="" data-mini-rdoc="dti::dti.smooth">dti.smooth</a></code> or <code><a href="/link/medinria2tensor?package=dti&version=0.5-4" rd-options="" data-mini-rdoc="dti::medinria2tensor">medinria2tensor</a></code>.

Objects from the Class

Class <code>"<links4class>list</links4class>"</code>, from data part.
Class <code>"<links4class>dti</links4class>"</code>, directly.
Class <code>"<links4class>vector</links4class>"</code>, by class "list", distance 2.

dtiTensor-class: Class "dtiTensor"

Description

Arguments

Objects from the Class

Extends

References

See Also

Examples