Description Usage Arguments Value Author(s) Examples
Get the predictors for perfusion regression from time-series voxels and motion-parameters.
1 | get_perfusion_predictors( mat , moco_params , xideal = NULL , labelfirst = 1 , ncompcorparameters = 4 )
|
mat |
Matrix with a column for every time-series voxel. Number of rows equals the number of time units in the series. |
mask |
Motion Parameters obtained as results after motion-correction. |
xideal |
[optional] 1D time-series signal to be used a ideal or model for regression. |
labelfirst |
[optional] Boolean indicating if the first value is label in every time-series. |
ncompcorparameters |
[optional] Number of compcorr parameters. |
Success – An R list of named elements containing xideal ( named
'xideal' ) and nuisance parameters ( named 'nuis' )
Failure – NULL
Shrinidhi KL
1 2 3 4 5 6 7 8 9 | ## Not run:
# mat -- matrix with each column being a time-series voxel
# moco_results -- result of calling 'motion_correction'
# moco_results$moco_params -- motion-correction parameters
predictors <- get_perfusion_predictors( mat , moco_results$moco_params )
predictors$xideal
predictors$nuis
## End(Not run)
|
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