Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

27 Jul 2019Cian M. ScannellPiet van den BoschAmedeo ChiribiriJack LeeMarcel BreeuwerMitko Veta

The quantification of myocardial perfusion MRI has the potential to provide a fast, automated and user-independent assessment of myocardial ischaemia. However, due to the relatively high noise level and low temporal resolution of the acquired data and the complexity of the tracer-kinetic models, the model fitting can yield unreliable parameter estimates... (read more)

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