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The R package dcemriS4 is a collection of functions, with examples and documentation, that allows one to perform voxel-wise quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) or diffusion-weighted imaging (DWI) data. The primary application of this methodology is oncology, but applications to other therapeutic areas (such as neuroscience or inflammation) are equally possible. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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| Estimated apparent diffusion coefficients (ADCs) from the RIDER Neuro MRI data. |
The latest version of dcemriS4 (0.40) has been released on CRAN. The source code is available for download now and compiled versions should follow shortly. New features include:
- All compartmental model fitting procedures use the same parametric models
- Levenberg-Marquardt and MAP routines now take advantage of the multicore package
- Added full control of input parameters to nls.lm() when executing the Levenberg-Marquardt algorithm
- Added quantitative T2 estimation from CPMG acquisitions
Please use the mailing list for any questions/suggestions or contact me directly at bjw34032@users.sourceforge.net.
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