#' Estimate fibre orientation distributions
#' from diffusion data using spherical deconvolution
#'
#' @param infile the input DWI image containing volumes
#' that are both diffusion weighted and b=0
#' @param response response file, usually generated by \code{\link{dwi2response}}
#' @param algorithm the algorithm to use for fibre orientation distributions estimation
#' @param bvecs The file containing the b-vectors.
#' @param bvals The file containing the b-values.
#' @param scheme The file containing a 4xT text file,
#' instead of bvals/bvecs
#' @param mask initial mask for response voxel selection
#' @param lmax The maximum harmonic degree(s) of response function
#' estimation (single value for single-shell response,
#' comma-separated values for multi-shell response)
#' @param shells The b-value shell(s) to use in response
#' function estimation (single value for single-shell response,
#' comma-separated values for multi-shell response)
#' @param outfile Output response file
#' @param opts Additional options to pass
#' @param verbose Print diagnostic output
#' @param ... arguments to pass to \code{\link{std_opts}}
#'
#' @return Output filename
#' @export
#'
#' @importFrom neurobase checkimg check_outfile
#' @examples \dontrun{
#' infile = "~/Downloads/data.nii.gz"
#' bvals = "~/Downloads/bvals"
#' bvecs = "~/Downloads/bvecs"
#' response = dwi2response(infile, bvals = bvals, bvecs = bvecs)
#' fod = dwi2fod(infile, response = response,
#' bvals = bvals, bvecs = bvecs,
#' algorithm = "csd")
#' fod_make_resp = dwi2fod_with_response(infile = infile,
#' bvals = bvals, bvecs = bvecs)
#'
#' }
dwi2fod = function(
infile,
response,
algorithm = c("csd", "msmt_csd"),
bvals = NULL,
bvecs = NULL,
scheme = NULL,
mask = NULL,
lmax = NULL,
shells = NULL,
outfile = NULL,
opts = "",
verbose = TRUE,
...
) {
cmd = "dwi2fod"
cmd = system.file("bin", cmd, package = "mrtrix")
infile = checkimg(infile)
algorithm = match.arg(algorithm)
outfile = check_outfile(
outfile = outfile,
retimg = TRUE)
scheme_opts = scheme_or_bvals(
bvals = bvals,
bvecs = bvecs,
scheme = scheme)
opts = c(opts, scheme_opts)
if (!is.null(mask)) {
mask = checkimg(mask)
opts = c(opts, paste0("-mask ", mask))
}
if (!is.null(lmax)) {
lmax = paste(lmax, collapse = ",")
opts = c(opts, paste0("-lmax ", lmax))
}
if (!is.null(shells)) {
shells = paste(shells, collapse = ",")
opts = c(opts, paste0("-shell ", shells))
}
opts = std_opts(opts = opts,
verbose = verbose,
use_tempdir = FALSE, # no tempdir available
...)
opts = paste(opts, collapse = " ")
cmd = paste(cmd, algorithm, opts,
infile, response,outfile)
if (verbose) {
message(cmd)
}
res = system(cmd)
if (res != 0) {
warning("Result not zero, may be a problem!")
}
return(outfile)
}
#' @export
#' @rdname dwi2fod
#' @importFrom methods formalArgs
dwi2fod_with_response = function(
infile,
...
) {
args = list(...)
args$infile = infile
nargs = names(args)
response_args = formalArgs(dwi2response)
response_args = args[ nargs %in% response_args ]
response = do.call(dwi2response, args = response_args)
args$response = response
nargs = names(args)
fod_args = formalArgs(dwi2fod)
fod_args = args[ nargs %in% fod_args ]
ret = do.call(dwi2fod, args = response_args)
return(ret)
}
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