show-methods

show,ANY-method

show,dti-method

show,dtiData-method

show,dtiTensor-method

show,dwiMixtensor-method

show,dtiIndices-method

show,dwiFiber-method

Object of class <code>dtiIndices</code>, <code>dtiData</code>, <code>dtiTensor</code>, <code>dwiMixtensor</code>, <code>dwiQball</code> or <code>dwiFiber</code>

object

The function provides information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>, <code>"dtiData"</code>,
 <code>"dtiTensor"</code>, <code>"dwiMixtensor"</code>, <code>"dtiIndices"</code>, <code>"dwiQball"</code> or <code>"dwiFiber"</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), structural adaptive smoothing
        in in case of (DTI) (K. Tabelow, J. Polzehl, V. Spokoiny, and
        H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive
        Smoothing, Neuroimage 39(4), 1763-1773 (2008)), modeling for
        high angular resolution diffusion weighted imaging (HARDI)
        using Q-ball-reconstruction and tensor mixture models and a
        stremaline 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

show-methods function

Methods for Function `show' in Package `dti'

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

Description

Usage

Arguments

See Also