Title	Processing Neuroimaging Data in R: Capabilities
Creator	Muschelli, John
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-02-02T14:55
Description	The hurdle to neuroimaging analysis for many statisticians is learning how to process neuroimaging data. As this data can be in specific formats for neuroimaging, it may not even be clear how to read the data into a software package. As many statisticians use R for statistical analysis, one goal is to have neuroimaging preprocessing in the same language. Many of these functions for neuroimaging processing are available in software suites with differing syntax and functionality. We present the R package fslr that ports these neuroimaging functions from the popular and open-source FSL software, such as brain segmentation, Gaussian smoothing, image registration, and tissue-class segmentation. We will discuss the advantages of having this package within R, as well as other packages being developed that allow for a full suite of neuroimaging tools for statisticians who use R.
Extent	24 minutes
Subject	Mathematics; Statistics; Game theory, economics, social and behavioral sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Johns Hopkins University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-08-03
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0307308
URI	http://hdl.handle.net/2429/58660
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Graduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Processing Neuroimaging Data in R: Capabilities Muschelli, John

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