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

manip

methods

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.

dwiRiceBias-methods: Correction for Rician Bias

Description

Usage

Arguments

Value

See Also