Description Usage Arguments Value Examples
View source: R/oasis_preproc.R
This function does the required preprocessing for OASIS for the FLAIR, T2,
T1, and PD volumes using FSL through fslr.
The preprocessing steps are
(1) inhomogeneity correct using fsl_biascorrect
and (2) rigid registration using flirt to the T1 space.
| 1 2 | oasis_preproc(flair, t1, t2, pd = NULL, brain_mask = NULL, verbose = TRUE,
  cores = 1)
 | 
| flair | FLAIR volume of class  | 
| t1 | T1 volume of class  | 
| t2 | T2 volume of class  | 
| pd | PD volume of class  | 
| brain_mask | binary mask volume of class  | 
| verbose | a logical value for printing diagnostic output | 
| cores | numeric indicating the number of cores to be used (no more than 4 is useful for this software implementation) | 
Returns a list of objects of class nifti,
namely the inhomogeneity corrected FLAIR, T1, T2, and PD registered to the
space of the T1 volume.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | library(neurobase)
dl_file = function(url) {
   tfile = tempfile(fileext = ".nii.gz")
   req <- httr::GET(url,
   httr::write_disk(path = tfile))
   httr::stop_for_status(req)
   tfile
}
in_ci <- function() {
 nzchar(Sys.getenv("CI"))
}
on_cran = function() {
 identical(Sys.getenv("NOT_CRAN"), "false")
} 
if (in_ci() || on_cran()) {
  if (fslr::have.fsl() && require(httr)) {
    mods = c("FLAIR", "T1W", "T2W", "consensus_gt", "brainmask")
    base_url = file.path(
      "https://raw.githubusercontent.com/muschellij2/open_ms_data", 
      "master/cross_sectional/coregistered/patient01/")
    files = paste0(base_url, mods, ".nii.gz")
    files = sapply(files, dl_file)
    names(files) = mods
    flair <- readnii(files["FLAIR"])
    t1 <- readnii(files["T1W"])
    t2 <- readnii(files["T2W"])
    brain_mask <- readnii(files["brainmask"])
    gold_standard = readnii(files["consensus_gt"])
    oasis_preprocessed_data <- oasis_preproc(flair, t1, t2, 
      brain_mask = brain_mask)
  } 
}
 | 
Loading required package: oro.nifti
oro.nifti 0.7.2
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