Extracting kinetic information from dynamic imaging protocols: a Bayesian approach to parametric image analysis

A Bayesian method is proposed to determine regularized parametric images from dynamic imaging protocols. The approach allows to estimate functional parameters from a mathematical model of contrast agent kinetics, and to regularize such estimate using Bayesian approaches. Simulation studies and preliminary analysis of real contrast-enhanced MRI data from mammary tumors in an animal model are encouraging.