aslPerfusion: ASL-based Perfusion from PASL, CASL or pCASL.

In stnava/itkImageR: Examples using Rcpp to interface R and ITK

Description

This function will estimate perfusion from an ASL time series using a (robust) regression approach. It will do motion correction, compcorr, factor out nuisance variables and use regression to estimate the perfusion itself. It will mask the image too based on a simple procedure ( should fix this in the future by allowing the user to optionally pass a mask in from the outside ). WARNING: the function will estimate the m0 image from the mean of the control tags assuming that the data is acquired T C T C as is most of JJ's data. Quantitative CBF can be obtained by mutiplying the output of this function by a scalar.

Usage

aslPerfusion( asl_antsr_image_or_filename, maskThresh=500,  moreaccurate = TRUE , dorobust = 0 )

Arguments

asl_antsr_image_or_filename	The filename to an antsr image or pointer to an antsr image
maskThresh = <value>	A thresholding value for the mask ... may need to be adjusted up or down for your data although the mask does not need to be perfect.
dorobust = <value in 0 to 1>	Controls whether you use a robust regression when estimating perfusion values

Value

output is an antsImage containing perfusion values

or

1 – Failure

Author(s)

Avants BB

Examples

## Not run: 
myperf<-aslPerfusion( asl )

## End(Not run)

stnava/itkImageR documentation built on May 30, 2019, 7:21 p.m.