The R Journal: article published in 2014, volume 6:1

brainR: Interactive 3 and 4D Images of High Resolution Neuroimage Data
John Muschelli, Elizabeth Sweeney and Ciprian Crainiceanu , The R Journal (2014) 6:1, pages 41-48.

Abstract We provide software tools for displaying and publishing interactive 3-dimensional (3D) and 4-dimensional (4D) figures to html webpages, with examples of high-resolution brain imaging. Our framework is based in the R statistical software using the rgl package, a 3D graphics library. We build on this package to allow manipulation of figures including rotation and translation, zooming, coloring of brain substructures, adjusting transparency levels, and addition/or removal of brain structures. The need for better visualization tools of ultra high dimensional data is ever present; we are providing a clean, simple, web-based option. We also provide a package (brainR) for users to readily implement these tools.

Received: 2013-08-16; online 2014-06-03
CRAN packages: rgl, knitr, Sweave, slidify, misc3d, brainR
CRAN Task Views implied by cited CRAN packages: Graphics, Multivariate, MedicalImaging, ReproducibleResearch, SpatioTemporal

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2014-004,
  author = {John Muschelli and Elizabeth Sweeney and Ciprian Crainiceanu},
  title = {{brainR: Interactive 3 and 4D Images of High Resolution
          Neuroimage Data}},
  year = {2014},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2014-004},
  url = {https://doi.org/10.32614/RJ-2014-004},
  pages = {41--48},
  volume = {6},
  number = {1}
}