getsdofsb

getsdofsb-methods

getsdofsb,ANY-method

getsdofsb,dtiData-method

object

level for lower quantile of image intensities

level for upper quantile of image intensities

number of diffusion weighted image to use

level

Estimate the noise standard deviation. Uses an assumption that the standard deviation
 is a linear function of the expected mean for image intensities. <code>qA0</code> and <code>qA1</code> define quantiles of observed image intensities that define the range of values where this assumption is made.

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.

getsdofsb-methods: Estimate the noise standard deviation

Description

Usage

Arguments

Value

See Also