dwiRiceBias

dwiRiceBias-methods

dwiRiceBias,ANY-method

dwiRiceBias,dtiData-method

object

 Scale parameter that relates the distribution of the signal to a
               $\chi_{2L}$ distribution

sigma

 number of effective coils in parallel imaging, the related $\chi$
  distribution has <code>2*ncoils</code> degrees of freedom.

ncoils


 Correction for Rician Bias assuming known variance parameter


methods

 manip 

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),
diffusion kurtosis imaging (DKI), modeling for high angular resolution
diffusion weighted imaging (HARDI) using Q-ball-reconstruction and
tensor mixture models, several methods for structural adaptive
smoothing including POAS and msPOAS, and a streamline 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

dwiRiceBias-methods function

<dl> <dt>object = "ANY"</dt><dd> Returns a warning. 
</dd> <dt>object = "dtiData"</dt><dd>
Returns a <code>dtiData</code> object with bias-corrected image intensities.
</dd> </dl>

dwiRiceBias-methods: Correction for Rician Bias

Description

Usage

Arguments

Value

Methods

See Also