dwi-class

dtiData-class

dtiTensor-class

dtiIndices-class

dwiQball-class

The family of <code>"dwi"</code> classes is used for Diffusion Weighted Imaging (DWI) data and, within the Diffusion Tensor Model (DTI), diffusion tenors and its indices.

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/DWI Analysis

dwi-class function

<code>"dwi"</code> is only a superclass, no instances should be created. However, objects can be created by calls of the form <code>new("dwi", ...)</code>. <code>"dtiData"</code>, <code>"dtiTensor"</code>, and <code>"dtiIndices"</code> can be created from their correspondingly named functions and methods.

dwi-class: Class "dwi"

Description

Arguments

Objects from the Class

See Also