A computational study of the interaction between coronary blood flow and myocardial mechanics

Nicolas P Smith1

  • 1Bioengineering Institute, University of Auckland, Auckland 1020, New Zealand. np.smith@auckland.ac.nz

Physiological Measurement
|September 24, 2004
PubMed

Insights

Myocardial contraction significantly impacts coronary blood flow by increasing intramyocardial pressure (IMP). Ventricular pressure transmission during isovolumic contraction and myocardial stiffening during ejection are key mechanisms inhibiting blood flow.

Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Biomedical Engineering

Background:

  • Coronary blood flow is crucial for heart function.
  • Myocardial contraction's effect on coronary perfusion is complex and not fully understood.
  • Accurate modeling is needed to investigate blood flow regulation during the cardiac cycle.

Purpose of the Study:

  • To develop and validate an anatomically based computational model of coronary blood flow coupled to cardiac mechanics.
  • To investigate the mechanisms of coronary blood flow inhibition by myocardial contraction.
  • To predict spatial-temporal characteristics of myocardial perfusion.

Main Methods:

  • Finite deformation mechanics to calculate regional intramyocardial pressure (IMP).
  • Hemodynamic modeling of vascular blood flow.
  • Coupling mechanical and hemodynamic models.
  • Verification with experimental data.

Main Results:

  • IMP varies linearly from endocardium to epicardium during diastole and isovolumic contraction.
  • Arterial vessel radius decreases during isovolumic contraction and increases during ejection.
  • Venous vessels show radius reduction throughout contraction.
  • Arterial flow peaks during diastole; venous flow peaks during systole.

Conclusions:

  • Ventricular pressure transmission is the primary inhibitor of coronary blood flow during isovolumic contraction.
  • Myocardial stiffening becomes more significant in inhibiting flow during the ejection phase.
  • The computational model provides insights into coronary perfusion regulation.