A lumped parameter model for evaluating coronary artery blood supply capacity

Area of Science:

• Cardiovascular Physiology
• Biomedical Engineering
• Computational Fluid Dynamics

Background:

• Coronary arteries supply the heart muscle with nutrients; disease impairs this supply, causing ischemia.
• Accurate numerical simulation of coronary arteries is crucial for evaluating cardiac blood supply capacity.

Purpose of the Study:

• To derive a lumped parameter model for coronary arteries.
• To evaluate coronary blood supply in healthy and stenosis conditions.
• To validate the model's clinical applicability.

Main Methods:

• Developed a coronary artery lumped parameter model using circuit and cardiovascular parameters.
• Utilized aortic valve fluid-structure interaction (AV FSI) simulation for inlet pressure.
• Incorporated head loss and symmetric structured tree models for realistic simulation.
• Optimized model parameters using particle swarm optimization (PSO).

Main Results:

• The numerical simulation accurately predicted relative flow and fractional flow reserve (FFR) in stenosis states.
• Model outputs correlated with existing literature data.
• The model successfully emulated physiological pressure drops due to vessel narrowing.

Conclusions:

• The developed coronary artery lumped parameter model is a valuable tool for assessing blood supply.
• The model shows potential for clinical application in diagnosing and treating coronary artery disease.
• This simulation approach provides a reference for understanding coronary hemodynamics.