A patient-specific lumped-parameter model of coronary circulation

Area of Science:

• Cardiovascular physiology
• Biomedical engineering
• Computational fluid dynamics

Background:

• Previous mathematical models of coronary hemodynamics often excluded the right coronary tree.
• Invasive measurements were typically required to assess coronary perfusion.
• The impact of head loss at coronary artery inlets was not previously modeled.

Purpose of the Study:

• To develop a comprehensive lumped-parameter model for coronary hemodynamics.
• To integrate patient-specific geometry from CT scans, including the right coronary tree.
• To incorporate head loss effects at coronary artery inlets and validate against clinical data.

Main Methods:

• Developed a lumped-parameter model of the entire coronary network using patient-specific CT scan data.
• Implemented structured tree model boundary conditions to eliminate the need for invasive perfusion measurements.
• Incorporated head loss at the inlets of major coronary arteries.

Main Results:

• Model-estimated blood pressure and flow rates closely matched clinical measurements.
• Computed impedances aligned with experimental perfusion measurements.
• Simulations of coronary arterial stenosis, including fractional flow reserve and relative flow, showed good agreement with published data.

Conclusions:

• The developed lumped-parameter model provides an accurate and comprehensive representation of coronary hemodynamics.
• The model successfully incorporates patient-specific anatomy and physiological effects like head loss.
• This approach shows potential for clinical translation to facilitate real-time diagnosis of coronary conditions.