We employ a biophysical modeling framework to augment the information obtained from cardiovascular MRI data of patients with chronic pulmonary valve regurgitation in order to assist in optimal timing of pulmonary valve replacement therapy (PVR). The longitudinal follow-up of patients post-PVR shows no significant change in ventricular ejection fraction. However, the model is able to detect a decreasing request on generation of active myocardial stress while not decreasing the cardiac output – presumably favorable with the long-term prognosis of the heart. Coupling biophysical modeling with MRI data has the potential to further augment the diagnostic value of MRI.
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