#' \code{remap_cifti} wrapper
#'
#' Wrapper for \code{remap_cifti}. Calls \code{resample_cifti_components} using
#' the original file names listed in the \code{original_fnames} argument and
#' the target file names listed in the \code{remap_fnames} argument.
#'
#' @inheritParams original_fnames_Param_remapped
#' @param remap_fnames Where to write the resampled files. This is a named list
#' where each entry's name is a file type label, and each entry's value
#' is a file name indicating where to write the corresponding resampled file.
#' The recognized file type labels are: "cortexL", "cortexR",
#' "ROIcortexL", "ROIcortexR", "validROIcortexL", and "validROIcortexR".
#'
#' Entry values can be \code{NULL}, in which case a default file name will be
#' used: see \code{\link{resample_cifti_default_fname}}. Default file names
#' will also be used for files that need to be resampled/written but without a
#' corresponding entry in \code{remap_fnames}.
#'
#' Entries in \code{remap_fnames} will be ignored if they are not needed
#' based on \code{[ROI_]brainstructures}. For example, if
#' \code{brainstructures="left"}, then \code{remap_fnames$cortexR} will be
#' ignored if specified.
#'
#' The \code{write_dir} argument can be used to place each resampled file in
#' the same directory.
#' @param remap_method \code{"adaptive"} (default) or \code{"adaptive"}
#' resampling. These options correspond to the Workbench command options
#' \code{"BARYCENTRIC"} and \code{"ADAP_BARY_AREA"}, respectively.
#'
#' For remapping between fs_LR group data and FreeSurfer fsaverage group data,
#' adaptive resampling should be used.
#' @inheritParams area_original_Param
#' @inheritParams area_target_Param
#' @inheritParams read_dir_Param_separated
#' @inheritParams write_dir_Param_generic
#'
#' @return The return value of the \code{resample_cifti_components} call
#'
#' @keywords internal
#'
remap_cifti_wrapper <- function(
original_fnames, remap_fnames=NULL,
remap_method=c("adaptive", "barycentric"),
areaL_original_fname=NULL, areaR_original_fname=NULL,
areaL_target_fname=NULL, areaR_target_fname=NULL,
sphereL_original_fname=NULL, sphereR_original_fname=NULL,
sphereL_target_fname=NULL, sphereR_target_fname=NULL,
read_dir=NULL, write_dir=NULL) {
# Get kwargs.
resamp_kwargs <- list(
resamp_method=remap_method,
areaL_original_fname=areaL_original_fname,
areaR_original_fname=areaR_original_fname,
areaL_target_fname=areaL_target_fname,
areaR_target_fname=areaR_target_fname,
sphereL_original_fname=sphereL_original_fname,
sphereR_original_fname=sphereR_original_fname,
sphereL_target_fname=sphereL_target_fname,
sphereR_target_fname=sphereR_target_fname,
read_dir=read_dir, write_dir=write_dir
)
# Get expected file names.
expected_labs <- get_kwargs(resample_cifti_components)
expected_labs <- expected_labs[grepl("fname", expected_labs, fixed=TRUE)]
expected_labs <- unique(gsub("_.*", "", expected_labs))
# Check and add original file names to the kwargs.
if (!is.null(original_fnames)) {
match_input(names(original_fnames), expected_labs,
user_value_label="original_fnames")
resamp_kwargs[paste0(names(original_fnames), "_original_fname")] <- original_fnames
}
# Check and add resampled/target file names to the kwargs.
if (!is.null(remap_fnames)) {
match_input(names(remap_fnames), expected_labs,
user_value_label="remap_fnames")
resamp_kwargs[paste0(names(remap_fnames), "_target_fname")] <- remap_fnames
}
# Do resample_cifti_components.
resamp_kwargs[vapply(resamp_kwargs, is.null, FALSE)] <- NULL
do.call(resample_cifti_components, resamp_kwargs)
}
#' Remap CIFTI data
#'
#' Remap CIFTI data between two different spaces, such as between FreeSurfer
#' fsaverage group data and fs_LR group data.
#'
#' Can accept a \code{"xifti"} object as well as a path to a CIFTI-file. If
#' the input \code{"xifti"} object has surface geometry, it will be removed.
#'
#' This function is in active development: its arguments and behavior may
#' change greatly in future versions of the package.
#'
#' @param x The CIFTI file name or \code{"xifti"} object to resample.
#' @param cifti_target_fname File name for the resampled CIFTI. Will be placed
#' in \code{write_dir}. If \code{NULL}, will be written to "resampled.d*.nii".
#' \code{write_dir} will be appended to the beginning of the path.
#' @param write_dir Where to write the resampled CIFTI (and surfaces if present.)
#' If \code{NULL} (default), will use the current working directory if \code{x}
#' was a CIFTI file, and a temporary directory if \code{x} was a \code{"xifti"}
#' object.
#' @param remap_method \code{"adaptive"} (default) or \code{"adaptive"}
#' resampling. These options correspond to the Workbench command options
#' \code{"BARYCENTRIC"} and \code{"ADAP_BARY_AREA"}, respectively.
#'
#' For remapping fs_LR group data to fsaverage, barycentric should be
#' used. For remapping FreeSurfer fsaverage group data to fs_LR, adaptive
#' should be used.
#' @param areaL_original_fname,areaL_target_fname File paths to the left cortex
#' surfaces to use for vertex area correction during adaptive resampling.
#' Required if \code{remap_method} is \code{"adaptive"}.
#' @param sphereL_original_fname,sphereL_target_fname File paths to the sphere
#' surfaces in the original and target spaces, for the left cortex.
#' @param areaR_original_fname,areaR_target_fname,sphereR_original_fname,sphereR_target_fname
#' See the corresponding arguments for the left cortex.
#' @param mwall_values If the medial wall locations are not indicated in the
#' CIFTI, and if \code{ROIcortexL/R_original_fname} is not provided, then use
#' these values to infer the medial wall mask. Default: \code{c(NA, NaN)}. If
#' \code{NULL}, do not attempt to infer the medial wall.
#'
#' Correctly indicating the medial wall locations is important for remapping,
#' because the medial wall mask is taken into account during remapping
#' calculations.
#' @inheritParams verbose_Param_TRUE
#'
#' @family manipulating xifti
#' @export
remap_cifti <- function(
x, cifti_target_fname=NULL,
remap_method=c("adaptive", "barycentric"),
areaL_original_fname=NULL, areaR_original_fname=NULL,
areaL_target_fname=NULL, areaR_target_fname=NULL,
sphereL_original_fname=NULL, sphereR_original_fname=NULL,
sphereL_target_fname=NULL, sphereR_target_fname=NULL,
write_dir=NULL, mwall_values=c(NA, NaN), verbose=TRUE) {
input_is_xifti <- is.xifti(x, messages=FALSE)
# Args check -----------------------------------------------------------------
if (is.null(write_dir) & input_is_xifti) { write_dir <- tempdir() }
stopifnot(file.exists(areaL_original_fname))
stopifnot(file.exists(areaR_original_fname))
surfL_return <- surfR_return <- FALSE
if (verbose) { exec_time <- Sys.time() }
# Setup ----------------------------------------------------------------------
if (input_is_xifti) {
# Check intent. Treat unknown itents as dscalar.
x_intent <- x$meta$cifti$intent
if (!is.null(x_intent) && (x_intent %in% supported_intents()$value)) {
x_extn <- supported_intents()$extension[supported_intents()$value == x_intent]
} else {
warning("The CIFTI intent was unknown, so resampling as a dscalar.")
x_extn <- "dscalar.nii"
}
# Drop the surfaces, if any.
if (!is.null(x$surf$cortex_left)) {
cat("Removing left cortex surface from `x`.")
remove_xifti(x, "cortex_left")
}
if (!is.null(x$surf$cortex_right)) {
cat("Removing right cortex surface from `x`.")
remove_xifti(x, "cortex_right")
}
# Write out the CIFTI.
cifti_original_fname <- file.path(tempdir(), paste0("to_remap.", x_extn))
write_cifti(x, cifti_original_fname, verbose=FALSE)
# Set the target CIFTI file name.
if (is.null(cifti_target_fname)) {
cifti_target_fname <- basename(gsub(
"to_remap.", "remapped.", cifti_original_fname, fixed=TRUE
))
}
cifti_info <- x$meta
brainstructures <- vector("character")
if (!is.null(x$data$cortex_left)) { brainstructures <- c(brainstructures, "left") }
if (!is.null(x$data$cortex_right)) { brainstructures <- c(brainstructures, "right") }
if (!is.null(x$data$subcort)) { brainstructures <- c(brainstructures, "subcortical") }
ROI_brainstructures <- brainstructures
original_res <- infer_resolution(x)
if (!is.null(original_res) && any(original_res < 2 & original_res > 0)) {
warning("The CIFTI resolution is already too low (< 2 vertices). Skipping resampling.")
return(x)
}
} else {
# Check that the original file is valid.
cifti_original_fname <- x
stopifnot(file.exists(cifti_original_fname))
cifti_info <- info_cifti(cifti_original_fname)
brainstructures <- ROI_brainstructures <- cifti_info$cifti$brainstructures
# Check that the resolutions match
# Set the target CIFTI file name.
if (is.null(cifti_target_fname)) {
cifti_target_fname <- paste0("remapped.", get_cifti_extn(cifti_original_fname))
}
original_res <- infer_resolution(cifti_info)
if (!is.null(original_res) && any(original_res < 2 & original_res > 0)) {
warning("The CIFTI resolution is already too low (< 2 vertices). Skipping resampling.")
return(NULL)
}
}
cifti_target_fname <- format_path(cifti_target_fname, write_dir, mode=2)
# Check that at least one surface is present.
if (!("left" %in% brainstructures || "right" %in% brainstructures)) {
warning("The CIFTI does not have cortical data, so there's nothing to remap.")
if (input_is_xifti) { return(x) } else { return(NULL) }
}
# Separate the CIFTI ---------------------------------------------------------
if (verbose) { cat("Separating CIFTI file.\n") }
to_cif <- separate_cifti_wrapper(
cifti_fname=cifti_original_fname,
brainstructures=brainstructures, ROI_brainstructures=ROI_brainstructures,
sep_fnames=NULL, write_dir=tempdir()
)
if (verbose) {
print(Sys.time() - exec_time)
exec_time <- Sys.time()
}
# Handle medial wall values --------------------------------------------------
if (!is.null(mwall_values)) {
if ("left" %in% brainstructures) {
fix_gifti_mwall(
to_cif["cortexL"], to_cif["cortexL"],
to_cif["ROIcortexL"], to_cif["ROIcortexL"],
mwall_values
)
}
if ("right" %in% brainstructures) {
fix_gifti_mwall(
to_cif["cortexR"], to_cif["cortexR"],
to_cif["ROIcortexR"], to_cif["ROIcortexR"],
mwall_values
)
}
}
# resample_cifti_components() ------------------------------------------------
# Do not resample the subcortical data.
to_resample <- to_cif[!grepl("subcort", names(to_cif))]
if (verbose) { cat("Resampling CIFTI file.\n") }
# Do resample_cifti_components.
remap_result <- remap_cifti_wrapper(
remap_method=remap_method,
areaL_original_fname=areaL_original_fname,
areaR_original_fname=areaR_original_fname,
areaL_target_fname=areaL_target_fname,
areaR_target_fname=areaR_target_fname,
sphereL_original_fname=sphereL_original_fname,
sphereR_original_fname=sphereR_original_fname,
sphereL_target_fname=sphereL_target_fname,
sphereR_target_fname=sphereR_target_fname,
original_fnames=to_resample, remap_fnames=NULL,
read_dir=NULL, write_dir=tempdir()
)
# Replace remapped files.
to_cif[names(to_cif) %in% names(remap_result)] <- remap_result[names(to_cif)[names(to_cif) %in% names(remap_result)]]
if (verbose) {
print(Sys.time() - exec_time)
exec_time <- Sys.time()
}
# Put together ---------------------------------------------------------------
# Create target CIFTI dense timeseries.
if (verbose) cat("Merging components into a CIFTI file... \n")
to_cif <- to_cif[names(to_cif) != "ROIsubcortVol"]
wcfs_kwargs <- c(list(cifti_fname=cifti_target_fname), as.list(to_cif))
do.call(write_cifti_from_separate, wcfs_kwargs)
if (verbose) {
print(Sys.time() - exec_time)
exec_time <- Sys.time()
}
# Return results -------------------------------------------------------------
if (input_is_xifti) {
read_xifti_args <- list(
cifti_fname = cifti_target_fname,
brainstructures = brainstructures
)
return(do.call(read_xifti, read_xifti_args))
} else {
return(unlist(list(cifti=cifti_target_fname)))
}
}
#' @rdname remap_cifti
#' @export
remapCIfTI <- function(
x, cifti_target_fname=NULL,
remap_method=c("adaptive", "barycentric"),
areaL_original_fname=NULL, areaR_original_fname=NULL,
areaL_target_fname=NULL, areaR_target_fname=NULL,
sphereL_original_fname=NULL, sphereR_original_fname=NULL,
sphereL_target_fname=NULL, sphereR_target_fname=NULL,
write_dir=NULL, mwall_values=c(NA, NaN), verbose=TRUE) {
remap_cifti(
x=x, cifti_target_fname=cifti_target_fname,
remap_method=remap_method,
areaL_original_fname=areaL_original_fname, areaR_original_fname=areaR_original_fname,
areaL_target_fname=areaL_target_fname, areaR_target_fname=areaR_target_fname,
sphereL_original_fname=sphereL_original_fname, sphereR_original_fname=sphereR_original_fname,
sphereL_target_fname=sphereL_target_fname, sphereR_target_fname=sphereR_target_fname,
write_dir=write_dir, mwall_values=mwall_values, verbose=verbose
)
}
#' @rdname remap_cifti
#' @export
remapcii <- function(
x, cifti_target_fname=NULL,
remap_method=c("adaptive", "barycentric"),
areaL_original_fname=NULL, areaR_original_fname=NULL,
areaL_target_fname=NULL, areaR_target_fname=NULL,
sphereL_original_fname=NULL, sphereR_original_fname=NULL,
sphereL_target_fname=NULL, sphereR_target_fname=NULL,
write_dir=NULL, mwall_values=c(NA, NaN), verbose=TRUE) {
remap_cifti(
x=x, cifti_target_fname=cifti_target_fname,
remap_method=remap_method,
areaL_original_fname=areaL_original_fname, areaR_original_fname=areaR_original_fname,
areaL_target_fname=areaL_target_fname, areaR_target_fname=areaR_target_fname,
sphereL_original_fname=sphereL_original_fname, sphereR_original_fname=sphereR_original_fname,
sphereL_target_fname=sphereL_target_fname, sphereR_target_fname=sphereR_target_fname,
write_dir=write_dir, mwall_values=mwall_values, verbose=verbose
)
}
#' @rdname remap_cifti
#' @export
remap_xifti <- function(
x, cifti_target_fname=NULL,
remap_method=c("adaptive", "barycentric"),
areaL_original_fname=NULL, areaR_original_fname=NULL,
areaL_target_fname=NULL, areaR_target_fname=NULL,
sphereL_original_fname=NULL, sphereR_original_fname=NULL,
sphereL_target_fname=NULL, sphereR_target_fname=NULL,
write_dir=NULL, mwall_values=c(NA, NaN), verbose=TRUE) {
remap_cifti(
x=x, cifti_target_fname=cifti_target_fname,
remap_method=remap_method,
areaL_original_fname=areaL_original_fname, areaR_original_fname=areaR_original_fname,
areaL_target_fname=areaL_target_fname, areaR_target_fname=areaR_target_fname,
sphereL_original_fname=sphereL_original_fname, sphereR_original_fname=sphereR_original_fname,
sphereL_target_fname=sphereL_target_fname, sphereR_target_fname=sphereR_target_fname,
write_dir=write_dir, mwall_values=mwall_values, verbose=verbose
)
}
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