Automated evaluation of aortic valve stenosis from phase-contrast magnetic resonance data

Accurate quantification of aortic valve stenosis (AVS) is crucial for relevant patients management. We hypothesized that automated analysis of phase-contrast cardiovascular magnetic resonance (PC-CMR) data might provide accurate AVS evaluation in agreement with the well established transthoracic echocardiography (TTE). We studied 74 subjects (53 AVS patients, 21 controls) who had TTE and CMR on the same day. PC-CMR analysis included dynamic segmentation of left ventricular outflow tract (LVOT) and aortic valve, as well as hemodynamic parameters extraction. We performed 3 estimates of aortic valve area (AVA): AVA CMR1 based on Hakki's formula, AVA CMR2 based on continuity equation, AVA CMR3 simplified continuity equation=LVOT peak flow-rate/aortic peak velocity. Our analysis was reproducible (inter-operator variability