Package oro.dicom details

Rigorous - DICOM Input / Output

Data input/output functions for data that conform to the Digital Imaging and Communications in Medicine (DICOM) standard, part of the Rigorous Analytics bundle.

Maintainer: Brandon Whitcher < bwhitcher at >

From within R, enter citation(oro.dicom)

To cite oro.dicom in publications use:

Brandon Whitcher, Volker J. Schmid, Andrew Thornton (2011). Working
with the DICOM and NIfTI Data Standards in R. Journal of Statistical
Software, 44(6), 1-28. URL

A BibTeX entry for LaTeX users is

title = {Working with the {DICOM} and {NIfTI} Data Standards in {R}},
author = {Brandon Whitcher and Volker J. Schmid and Andrew Thornton},
journal = {Journal of Statistical Software},
year = {2011},
volume = {44},
number = {6},
pages = {1--28},
url = {},


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

To install this package, start R and enter:


# Default Install

# From the Binary Repo in NeuroC
neuro_install('oro.dicom', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('oro.dicom', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('oro.dicom', release = "stable", release_repo = "github")
neuro_install('oro.dicom', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on October 1 2018 10:17AM
Last updated on August 11 2019 12:02AM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (2.14.0)
Importsutils, oro.nifti (0.4.0)
Suggeststestthat, hwriter
Reverse (0.4.0), radtools, dti, RIA (0.5.0)
Reverse SuggestsdcemriS4 (0.5.0)