The longitudinal hemodynamic mapping framework accurately reconstructed explicit 3D hemodynamics over 750 heartbeats with negligible error (0.0002-0.004%), enabling the simulation of 4.5 million heartbeats.
The LHMF enables computationally tractable, high-throughput 3D simulation of coronary hemodynamics over months of simulated time, paving the way for personalized cardiovascular digital twins.
Understanding the evolving nature of coronary hemodynamics is crucial for early disease detection and monitoring progression. We require digital twins that mimic a patient’s circulatory system by integrating continuous physiological data and computing hemodynamic patterns over months. Current models match clinical flow measurements but are limited to single heartbeats. To this end, we introduced the longitudinal hemodynamic mapping framework (LHMF), designed to tackle critical challenges: (1) computational intractability of explicit methods; (2) boundary conditions reflecting varying activity states; and (3) accessible computing resources for clinical translation. We show negligible error (0.0002–0.004%) between LHMF and explicit data of 750 heartbeats. We deployed LHMF across traditional and cloud-based platforms, demonstrating high-throughput simulations on heterogeneous systems. Additionally, we established LHMFC, where hemodynamically similar heartbeats are clustered to avoid redundant simulations, accurately reconstructing longitudinal hemodynamic maps (LHMs). This study captured 3D hemodynamics over 4.5 million heartbeats, paving the way for cardiovascular digital twins.
Tanade et al. (Fri,) conducted a other in Coronary artery disease (n=1). Longitudinal hemodynamic mapping framework (LHMF) vs. Explicit 3D computational fluid dynamics simulation was evaluated on Percentage error in resting pressure gradient, velocity, and wall shear stress compared to explicit simulation. The longitudinal hemodynamic mapping framework accurately reconstructed explicit 3D hemodynamics over 750 heartbeats with negligible error (0.0002-0.004%), enabling the simulation of 4.5 million heartbeats.