In neuroconductor-devel/fmriqa: Functional MRI Quality Assurance Routines

fmriqa

Overview

The fmriqa package provides an implementation of the fMRI quality assurance (QA) analysis protocol detailed by Friedman and Glover (2006) .

Installation

You can install the stable version of fmriqa from CRAN:

install.packages("fmriqa", dependencies = TRUE)

Or the the development version from GitHub (requires devtools package):

install.packages("devtools")
devtools::install_github("martin3141/fmriqa")

Usage

# load the package
library(fmriqa)

# get help on the options for run_fmriqa
?run_fmriqa

# run the analysis - a file chooser will appear when a data_file argument is not given
run_fmriqa()

Real data example

library(fmriqa)
fname <- system.file("extdata", "qa_data.nii.gz", package = "fmriqa")
res <- run_fmriqa(data_file = fname, gen_png = FALSE, gen_res_csv = FALSE, tr = 3)

Simulation example

library(fmriqa)
library(oro.nifti)

# generate random data
set.seed(1)
sim_data <- array(rnorm(80 * 80 * 1 * 100), dim = c(80, 80, 1, 100))
sim_data[20:60, 20:60, 1, ] <- sim_data[20:60, 20:60, 1, ] + 50
sim_nifti <- oro.nifti::as.nifti(sim_data)
fname <- tempfile()
writeNIfTI(sim_nifti, fname)

# perform qa
res <- run_fmriqa(fname, gen_png = FALSE, gen_res_csv = FALSE)
res$snr