write_nifti: writeNIfTI

In neuroconductor-releases/oro.nifti: Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output

Description

This function saves a NIfTI-class object to a single binary file in NIfTI format.

Usage

## S4 method for signature 'nifti'
writeNIfTI(
  nim,
  filename,
  onefile = TRUE,
  gzipped = TRUE,
  verbose = FALSE,
  warn = -1,
  compression = 6
)

## S4 method for signature 'niftiExtension'
writeNIfTI(
  nim,
  filename,
  onefile = TRUE,
  gzipped = TRUE,
  verbose = FALSE,
  warn = -1,
  compression = 6
)

## S4 method for signature 'anlz'
writeNIfTI(
  nim,
  filename,
  onefile = TRUE,
  gzipped = TRUE,
  verbose = FALSE,
  warn = -1,
  compression = 6
)

## S4 method for signature 'array'
writeNIfTI(
  nim,
  filename,
  onefile = TRUE,
  gzipped = TRUE,
  verbose = FALSE,
  warn = -1,
  compression = 6
)

Arguments

nim	is an object of class nifti or anlz.
filename	is the path and file name to save the NIfTI file (.nii) without the suffix.
onefile	is a logical value that allows the scanning of single-file (.nii) or dual-file format (.hdr and .img) NIfTI files (default = TRUE).
gzipped	is a character string that enables exportation of compressed (.gz) files (default = TRUE).
verbose	is a logical variable (default = FALSE) that allows text-based feedback during execution of the function.
warn	is a number to regulate the display of warnings (default = -1). See options for more details.
compression	The amount of compression to be applied when writing a file when gzipped = TRUE

Details

The writeNIfTI function utilizes the internal writeBin and writeChar command to write information to a binary file.

Current acceptable data types include

list("UINT8")

DT BINARY (1 bit per voxel)

list("INT16")

DT SIGNED SHORT (16 bits per voxel)

list("INT32")

DT SINGED INT (32 bits per voxel)

list("FLOAT32")

DT FLOAT (32 bits per voxel)

list("DOUBLE64")

DT DOUBLE (64 bits per voxel)

list("UINT16")

DT UNSIGNED SHORT (16 bits per voxel)

Value

Nothing.

Methods

object = "anlz"

Convert ANALYZE object to class nifti and write the NIfTI volume to disk.

object = "array"

Convert array to class nifti and write the NIfTI volume to disk.

object = "nifti"

Write NIfTI volume to disk.

Author(s)

Brandon Whitcher [e-mail],
Volker Schmid [e-mail]

References

NIfTI-1
http://nifti.nimh.nih.gov/

See Also

writeAFNI, writeANALYZE

Examples

norm <- dnorm(seq(-5, 5, length=32), sd=2)
norm <- (norm-min(norm)) / max(norm-min(norm))
img <- outer(outer(norm, norm), norm)
img <- round(255 * img)
img[17:32,,] <- 255 - img[17:32,,]
img.nifti <- nifti(img) # create NIfTI object

fname = file.path(tempdir(), "test-nifti-image-uint8")

writeNIfTI(img.nifti, fname, verbose=TRUE)
## These files should be viewable in, for example, FSLview
## Make sure you adjust the min/max values for proper visualization
data <- readNIfTI(fname, verbose=TRUE)
image(img.nifti, oma=rep(2,4), bg="white")
image(data, oma=rep(2,4), bg="white")
abs.err <- abs(data - img.nifti)
image(as(abs.err, "nifti"), zlim=range(img.nifti), oma=rep(2,4),
      bg="white")

## Not run: 
## Loop through all possible data types
datatypes <- list(code=c(2, 4, 8, 16, 64),
                  name=c("uint8", "int16", "int32", "float", "double"))
equal <- vector("list")
for (i in 1:length(datatypes$code)) {
  fname <- paste("test-nifti-image-", datatypes$name[i], sep="")
  fname = file.path(tempdir(), fname)
  rm(img.nifti)
  img.nifti <- nifti(img, datatype=datatypes$code[i])
  writeNIfTI(img.nifti, fname, verbose=TRUE)
  equal[[i]] <- all(readNIfTI(fname) == img)
}
names(equal) <- datatypes$name
unlist(equal)

## End(Not run)

neuroconductor-releases/oro.nifti documentation built on Jan. 1, 2021, 11:40 a.m.