Image analysis and statistical inference in neuroimaging with R

R is a language and environment for statistical computing and graphics. It can be considered an alternative implementation of the S language developed in the 1970s and 1980s for data analysis and graphics (Becker and Chambers, 1984; Becker et al., 1988). The R language is part of the GNU project and offers versions that compile and run on almost every major operating system currently available. We highlight several R packages built specifically for the analysis of neuroimaging data in the context of functional MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI. We review their methodology and give an overview of their capabilities for neuroimaging. In addition we summarize some of the current activities in the area of neuroimaging software development in R.

Keywords

Diffusion weighted imaging, functional magnetic resonance imaging, dynamic contrastenhanced magnetic resonance imaging, computational neuroscience

URI

https://doi.org/10.34657/2529
https://oa.tib.eu/renate/handle/123456789/2579

Citation

Tabelow, K., Clayden, J. D., Lafaye de Micheaux, P., Polzehl, J., Schmid, V. J., & Whitcher, B. (2010). Image analysis and statistical inference in neuroimaging with R (Vol. 1578). Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik.

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