Fslr: Connecting the FSL software with R

John Muschelli; Elizabeth Sweeney; Martin Lindquist; Ciprian Crainiceanu

doi:10.32614/rj-2015-013

Fslr: Connecting the FSL software with R

John Muschelli, Elizabeth Sweeney, Martin Lindquist, Ciprian Crainiceanu

Bloomberg School of Public Health

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

16 Scopus citations

Abstract

We present the package fslr, a set of R functions that interface with FSL (FMRIB Software Library), a commonly-used open-source software package for processing and analyzing neuroimaging data. The fslr package performs operations on 'nifti' image objects in R using command-line functions from FSL, and returns R objects back to the user. fslr allows users to develop image processing and analysis pipelines based on FSL functionality while interfacing with the functionality provided by R. We present an example of the analysis of structural magnetic resonance images, which demonstrates how R users can leverage the functionality of FSL without switching to shell commands.

Original language	English (US)
Pages (from-to)	163-175
Number of pages	13
Journal	R Journal
Volume	7
Issue number	1
DOIs	https://doi.org/10.32614/rj-2015-013
State	Published - 2015

ASJC Scopus subject areas

Statistics and Probability
Numerical Analysis
Statistics, Probability and Uncertainty

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10.32614/rj-2015-013

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

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Fslr: Connecting the FSL software with R

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