Overview of mathematical modeling of myocardial blood flow regulation

Ravi Namani1, Yoram Lanir2, Lik Chuan Lee1

  • 1Department of Mechanical Engineering, Michigan State University, East Lansing, Michigan.

Insights

Coronary flow regulation ensures the heart meets oxygen demands by adjusting blood flow. This review explores models of this complex system, aiding understanding of heart function and disease.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Computational Biology

Background:

  • The heart has the highest oxygen consumption and extraction rate among organs.
  • Increased cardiac metabolic activity necessitates a corresponding rise in coronary blood flow.
  • Coronary flow regulation is crucial for maintaining myocardial oxygen supply, especially during physical exertion.

Purpose of the Study:

  • To provide an overview of theoretical and computational models of coronary flow regulation.
  • To offer insights into the complex physiological system governing myocardial perfusion.
  • To highlight the impact of modeling on understanding coronary physiology and disease.

Main Methods:

  • Presentation of models for three primary control mechanisms: myogenic, flow, and metabolic control.
  • Explanation of how multi-scale flow regulation mechanisms influence myocardial perfusion characteristics.
  • Review of state-of-the-art advances in coronary flow modeling.

Main Results:

  • Models demonstrate how myogenic, flow, and metabolic controls yield key perfusion characteristics like flow reserve and autoregulation.
  • Understanding these models reveals insights into myocardial perfusion across different spatial scales.
  • The review connects modeling approaches to the assessment of coronary microvascular dysfunction (CMD) and cardiac-coronary coupling.

Conclusions:

  • Modeling provides a framework for understanding the nonlinear behavior of coronary physiology.
  • Advances in modeling can impact the assessment of CMD, metabolic diseases, and therapies for angina and heart failure.
  • The review identifies knowledge gaps and future research directions in coronary flow regulation modeling.

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