Deriving Explainable Metrics of Left Ventricular Flow by Reduced-Order Modeling and Classification.

Modal decomposition of cardiac flow can be used to create ROMs of normal and pathological flow patterns, uncovering simple interpretable flow metrics with power to discriminate disease states, and particularly suitable for further processing using ML.