Image analysis and statistical inference in neuroimaging with R
Please always quote using this URN:urn:nbn:de:0296-matheon-7462
- 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.
Author: | Karsten Tabelow, Jonathan D. Clayden, Pierre Lafaye de Micheaux, Jörg Polzehl, Volker J. Schmid, Brandon Whitcher |
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URN: | urn:nbn:de:0296-matheon-7462 |
Referee: | Konrad Polthier |
Document Type: | Preprint, Research Center Matheon |
Language: | English |
Date of first Publication: | 2011/12/01 |
Release Date: | 2011/10/01 |
Tag: | |
MSC-Classification: | 62-XX STATISTICS / 62Gxx Nonparametric inference / 62G05 Estimation |
62-XX STATISTICS / 62Hxx Multivariate analysis [See also 60Exx] / 62H35 Image analysis | |
62-XX STATISTICS / 62Pxx Applications [See also 90-XX, 91-XX, 92-XX] / 62P10 Applications to biology and medical sciences | |
92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92Cxx Physiological, cellular and medical topics / 92C55 Biomedical imaging and signal processing [See also 44A12, 65R10] | |
Preprint Number: | 757 |