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.
# S4 method for dtiData
getsdofsb(object,qA0=.1,qA1=.98,nsb=NULL,level=NULL)
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
).
Object of class "dtiData"
level for lower quantile of image intensities
level for upper quantile of image intensities
number of diffusion weighted image to use
level for mask
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
,