Hierarchical Bayesian myocardial perfusion quantification

Highlights • Estimates of myocardial perfusion from dynamic contrast-enhancement MRI may be unreliable due to the difficulties in fitting complex tracer-kinetic models to the imaging data.• We propose the use of Bayesian inference for the parameter estimation in quantitative myocardial perfusion MRI.• We demonstrate the improved reliability of the quantitative parameters over the traditional least-squares fitting in both simulated and patient data.

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