Package ANTsR details

ANTs in R: Quantification Tools for Biomedical Images

ANTsR interfaces state of the art image processing with R statistical methods. The project grew out of the need, at University of Pennsylvania, to develop large-scale analytics pipelines that track provenance from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp to access these frameworks from within R and support reproducible analyses. Specialized functionality in ANTsR includes image segmentation and registration along imaging specific variations of principal component and canonical correlation analysis.

Maintainer: Brian B. Avants < stnava at >


From within R, enter citation('ANTsR')

To cite package 'ANTsR' in publications use:

Brian B Avants (2020). ANTsR: ANTs in R: Quantification Tools for
Biomedical Images. R package version

A BibTeX entry for LaTeX users is

title = {ANTsR: ANTs in R: Quantification Tools for Biomedical Images},
author = {Brian B Avants},
year = {2020},
note = {R package version},


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 GitHub
neuro_install('ANTsR', release = "stable", release_repo = "github")
neuro_install('ANTsR', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on October 15 2018 12:19PM
Last updated on October 9 2020 10:43AM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
System requirementscmake, git, clang
DependsR (3.0), methods, ANTsRCore (0.7.4)
Importsgraphics, grDevices, magrittr, stats, utils
LinkingToRcpp, ITKR, ANTsRCore
Suggestsmagic, psych, rsvd, abind, BGLR, caret, cluster, corpcor, DMwR, dplyr, e1071, extremevalues, fastICA, fpc, ggplot2, glasso, glmnet, grid, hdf5r, ifultools, igraph, irlba, knitr, MASS, Matrix, mFilter, misc3d, moments, networkD3, pixmap, png, pracma, randomForest, R.matlab, Rcpp, RcppEigen, RcppHNSW, rgl, rmarkdown, robust, robustbase, signal, sna, testthat, tools, viridis, visreg, wmtsa, xgboost, FNN
Reverse DependsLESYMAP
Reverse Importssmri.process, LINDA, lungct, extrantsr (, medals (