A lumped parameter model for evaluating coronary artery blood supply capacity

Li Cai1,2,3, Qian Zhong1,2,3, Juan Xu1,2,3

  • 1School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710129, China.

Insights

This study developed a coronary artery model to assess heart blood supply. The model accurately simulates healthy and diseased states, aiding in diagnosing coronary artery disease.

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.