AUTOMATIC TOOL FOR PULMONARY ARTERY HEMODYNAMIC ASSESSMENT FROM 4D FLOW MRI

Currently, the extraction of blood flow biomarkers to characterize diseases is a time consuming process as it requires the manual segmentation of vascular structures and complex computational fluid dynamics (CFD) simulations. Here, we propose a tool to automatically segment the pulmonary artery and to compute biomarkers from 4D flow magnetic resonance images. In the context of Pulmonary Hypertension (PH), we show that biomarkers such as peak velocity, flow rate, helicity and vorticity provide discriminative power between patient groups and are derived in a faster and simpler way than traditional methods.