getsdofsb-methods: Estimate the noise standard deviation
In neuroconductor/dti: Analysis of Diffusion Weighted Imaging (DWI) Data

Description Usage Arguments Value Methods Author(s) See Also

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

1 2	## S4 method for signature 'dtiData' getsdofsb(object,qA0=.1,qA1=.98,nsb=NULL,level=NULL)

`object`	Object of class `"dtiData"`
`qA0`	level for lower quantile of image intensities
`qA1`	level for upper quantile of image intensities
`nsb`	number of diffusion weighted image to use
`level`	level for mask

An object of class "dtiData" with results in slot sdcoef in components 5: intercept parameter, 6: slope parameter for linear model, 7: lower bound (depending on qA0) and 8: upper bound (depending on qA1).

signature(object) = "ANY": Returns a warning.
signature(object) = "dtiData": Returns a dtiData object with estimated standard deviation parameters in slot sdcoef.

Karsten Tabelow tabelow@wias-berlin.de
J\"org Polzehl polzehl@wias-berlin.de

dtiData, dwi.smooth-methods, dtiData,

neuroconductor/dti documentation built on May 20, 2021, 4:28 p.m.