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.
|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