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dcemriS4 (version 0.51)

CPMG: Quantitative T2

Description

...

Usage

T2.lm(signal, TE, guess, control=minpack.lm::nls.lm.control())
## S3 method for class 'array':
T2.fast(cpmg, cpmg.mask, TE, 
         control=minpack.lm::nls.lm.control(maxiter=150),
         multicore=FALSE, verbose=FALSE)

Arguments

signal
is the vector of signal intensities as a function of echo times.
TE
is the vector of echo times (in seconds).
guess
is the vector of initial values for the parameters of interest: $\rho$ and $T2$.
control
An optional list of control settings for nls.lm. See nls.lm.control for the names of the settable control values and their effect.
cpmg
is a multidimensional array of signal intensities. The last dimension is assumed to be a function of the echo times, while the previous dimenions are assued to be spatial.
cpmg.mask
is a (logical) multidimensional array that identifies the voxels to be analyzed.
multicore
is a logical variable (default = FALSE) that allows parallel processing via multicore.
verbose
is a logical variable (default = FALSE) that allows text-based feedback during execution of the function.

Value

  • A list structure is produced with (all or some of the) parameter estimates
  • $\rho$Scaling factor between signal intensity and T2 (proton density).
  • T2T2 relaxation time.

Details

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See Also

R1.fast, R10.lm

Examples

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