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bioRxiv · 10.1101/2024.04.11.588994

Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion

Montino Pelagi, G.·Regazzoni, F.·Huyghe, J. M.·Baggiano, A.·Ali, M.·Bertoluzza, S.·Valbusa, G.·Pontone, G.·Vergara, C.
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Abstract

Purposeaccurate modeling of blood dynamics in the coronary microcirculation is a crucial step towards the clinical application of in silico methods for the diagnosis of coronary artery disease (CAD). In this work, we present a new mathematical model of microcirculatory hemodynamics accounting for microvasculature compliance and cardiac contraction; we also present its application to a full simulation of hyperemic coronary blood flow and 3D myocardial perfusion in real clinical cases. Methodsmicrovasculature hemodynamics is modeled with a compliant multi-compartment Darcy formulation, with the new compliance terms depending on the local intramyocardial pressure generated by cardiac contraction. Nonlinear analytical relationships for vessels distensibility are included based on experimental data, and all the parameters of the model are reformulated based on histologically relevant quantities, allowing a deeper model personalization. ResultsPhasic flow patterns of high arterial inflow in diastole and venous outflow in systole are obtained, with flow waveforms morphology and pressure distribution along the microcirculation reproduced in accordance with experimental and in vivo measures. Phasic diameter change for arterioles and capillaries is also obtained with relevant differences depending on the depth location. Coronary blood dynamics exhibits a disturbed flow at the systolic onset, while the obtained 3D perfusion maps reproduce the systolic impediment effect and show relevant regional and transmural heterogeneities in myocardial blood flow (MBF). Conclusionthe proposed model successfully reproduces microvasculature hemodynamics over the whole heartbeat and along the entire intramural vessels. Quantification of phasic flow patterns, diameter changes, regional and transmural heterogeneities in MBF represent key steps ahead in the direction of the predictive simulation of cardiac perfusion.

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Montino Pelagi, G., Regazzoni, F., Huyghe, J. M., Baggiano, A., Ali, M., Bertoluzza, S., Valbusa, G., Pontone, G., Vergara, C.. 2024-04-15. Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion. https://doi.org/10.1101/2024.04.11.588994

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