BrainR: Interactive 3 and 4D images of high resolution neuroimage data

John Muschelli; Elizabeth Sweeney; Ciprian Crainiceanu

doi:10.32614/rj-2014-004

BrainR: Interactive 3 and 4D images of high resolution neuroimage data

John Muschelli, Elizabeth Sweeney, Ciprian Crainiceanu

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Pages (from-to)	41-48
Number of pages	8
Journal	R Journal
Volume	6
Issue number	1
DOIs	https://doi.org/10.32614/rj-2014-004
State	Published - 2014

ASJC Scopus subject areas

Statistics and Probability
Numerical Analysis
Statistics, Probability and Uncertainty

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10.32614/rj-2014-004

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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.",

author = "John Muschelli and Elizabeth Sweeney and Ciprian Crainiceanu",

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BrainR: Interactive 3 and 4D images of high resolution neuroimage data

Abstract

ASJC Scopus subject areas

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