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The R package dcemriS4 provides routines for the quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), along with quantification of diffusion-weighted MRI (ADC = apparent diffusion coefficient) and quantitative T2 maps from Carr-Purcell-Meiboom-Gill (CPMG) sequences. The latest version (0.46) has been submitted to CRAN and will hopefully be available for download soon.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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| Voxel-wise posterior median values of Ktrans (volume transfer constant between the plasma and the extravascular extracellular space) using an MCMC algorithm. |
Improvements or modifications from previous versions include:
- Added dependence on R (>=2.14.0) so that the “parallel” package is used instead of the “multicore” package.
- Added functions aifParameters() and compartmentalModel() to standardize the output in parameter estimation functions.
- Allow the user to specify initial guesses for the Levenberg-Marquardt optimization in order to estimate the kinetic parameters.
- Improved the implementation of CA.fast2 to estimate the T1 relaxation time and corresponding contrast agent concentration when only two flip angles are acquired.
- Bug fix in dcemri.lm() when user-specified arterial input function (AIF) is provided.
- Added cerebral blood volume (CBV) estimation functionality.
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