Bayesian DCE modelling

This widget provides DCE model fitting to output image maps of physiological parameters if interest such as \(K_{trans}\), \(F_p\), \(PS\), \(V_p\) and \(V_e\). A Bayesian inference approach is used, this has the advantage that prior knowledge about likely parameter values can be incorporated. This allows more complex models to be implemented and, for example, allows a measured T1 value to vary slightly to better fit the data.

Tutorials

• DCE-MRI Data Analysis Tutorial

• DCE-MRI Simulation and Analysis

Reference

• DCE modelling widget user interface
• Models available for Bayesian DCE modelling
• AIF options for Bayesian DCE modelling