Package dcm2niir details

Conversion of 'DICOM' to 'NIfTI' Imaging Files Through R

Creates simple wrapper for the 'dcm2nii' and 'dcm2niix' functions from Chris Rorden at 'USC', which converts Digital Imaging and Communications in Medicine ('DICOM') data to Neuroimaging Informatics Technology Initiative ('NIfTI') formats.

Maintainer: John Muschelli < muschellij2 at gmail.com >

Documentation

 
From within R, enter citation('dcm2niir')

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('dcm2niir')

# from GitHub
neuro_install('dcm2niir', release = "stable", release_repo = "github")
neuro_install('dcm2niir', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on September 27 2018 12:14PM
Last updated on March 31 2021 10:00AM
Package type standard
Source GitHub https://github.com/muschellij2/dcm2niir.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/dcm2niir GitHub
System requirementsdcm2niix (https://github.com/rordenlab/dcm2niix)
DependsR (3.0.1)
Importsdplyr, utils, httr, fs, R.utils
Suggestsknitr, rmarkdown, testthat, git2r
Reverse Importsdcmsort