ANTsR (version 1.0)

perfusionregression: Perfusion Regression

Description

Estimate CBF using standard regression and optionally robust regression.

Usage

perfusionregression( mask_img , mat , xideal , nuis , m0, dorobust = 0 )

Arguments

mask_img

Mask image selects the voxels where CBF will be estimated. Voxels corresponding to logical FALSE are not computed.

mat

Matrix with a column for every time-series voxel. Number of rows equals the number of time units in the series.

xideal

1D time-series signal to be used a ideal or model for regression.

nuis

Nuisance parameters obtained from 'get_perfusion_predictors'.

m0

m0 antsImage passed in according to needs of specific ASL sequence.

dorobust

Real value in interval from 0 to 1. If greater than 0, then robust regression will be performed. A typical value would be 0.95 i.e. use voxels with 95 percent confidence.

Value

Success -- An object of type 'antsImage' containing the CBF estimate for voxels corresponding to the mask input

Examples

# NOT RUN {
# predictors -- result of calling 'get_perfusion_predictors'
cbf <- perfusionregression( mask_img, mat , predictors$xideal , predictors$nuis )
# }