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 gmail.com >

Documentation

 
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 http://www.jstatsoft.org/v44/i06/.

A BibTeX entry for LaTeX users is

@Article{,
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 = {http://www.jstatsoft.org/v44/i06/},
}

 

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:

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

# Default Install
neuro_install('oro.dicom')

# 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 October 23 2019 3:43PM
Package type standard
Source GitHub https://github.com/bjw34032/oro.dicom GitHub
Neuroconductor GitHub https://github.com/neuroconductor/oro.dicom GitHub
DependsR (2.14.0)
Importsutils, oro.nifti (0.4.0)
Suggeststestthat, hwriter
Reverse Importsoro.pet (0.4.0), dti, RIA (0.5.0), spant, radtools
Reverse SuggestsdcemriS4 (0.5.0)