Details

Autor(en) / Beteiligte

• Tabelow, K.
• Clayden, J.D.
• Lafaye de Micheaux, P.
• Polzehl, J.
• Schmid, V.J.
• Whitcher, B.

Titel

Image analysis and statistical inference in neuroimaging with R

Ist Teil von

• NeuroImage (Orlando, Fla.), 2011-04, Vol.55 (4), p.1686-1693

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2011

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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. ► Overview over existing capabilities of R in neuroimaging (fMRI, DWI, DCE-MRI). ► Many dedicated R-packages implement existing as well as new methodology for neuroimaging. ► The tools can be easily extended and combined with other well established software.