perfusionregression: Perfusion Regression

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

Estimate CBF using standard regression and optionally robust regression.

Usage

perfusionregression(
  mask_img,
  mat,
  xideal,
  nuis = NA,
  dorobust = 0,
  skip = 20,
  selectionValsForRegweights = NULL,
  useBayesian = 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'.
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.
skip	skip / stride over this number of voxels to increase speed
selectionValsForRegweights	scalar function to guide parameter est.
useBayesian	if greater than zero, use a bayesian prior w/this weight

Value

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

Author(s)

Shrinidhi KL Avants BB

Examples

## Not run: 
#
# cbf <- perfusionregression( mask_img, mat, xideal , nuis )

## End(Not run)

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.