Package radtools details

Utilities for Convenient Extraction of Medical Image Metadata

A collection of utilities for navigating medical image data. The DICOM and NIfTI formats are supported. Functions provide simple interfaces to the data and metadata contained in these formats. A particular emphasis on metadata allows simple conversion of image metadata to familiar R data structures such as lists and data frames. Where possible, generic functions can silently process either DICOM or NIfTI data. Additionally, image data can be extracted and viewed.

Maintainer: Pamela Russell < pamela.russell at gmail.com >

 
From within R, enter citation(radtools)


To cite package 'radtools' in publications use:

Pamela Russell (2018). radtools: Utilities for Convenient Extraction
of Medical Image Metadata. R package version 1.0.3.

A BibTeX entry for LaTeX users is

@Manual{,
title = {radtools: Utilities for Convenient Extraction of Medical Image Metadata},
author = {Pamela Russell},
year = {2018},
note = {R package version 1.0.3},
}

 

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('radtools')

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

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

More detailed installation instructions can be found here.

 

Initially submitted on April 25 2019 10:06AM
Last updated on April 28 2019 12:01AM
Package type standard
Source GitHub https://github.com/pamelarussell/radtools GitHub
Neuroconductor GitHub https://github.com/neuroconductor/radtools GitHub
DependsR (3.4.0)
Importsoro.dicom, dplyr, Hmisc, oro.nifti, magrittr, methods, TCIApathfinder, R.utils, xfun
Suggeststestthat, covr, knitr, rmarkdown, rvest, hashmap, stringr, xml2