A 1D-3D Hybrid Model of Patient-Specific Coronary Hemodynamics

Area of Science:

• Cardiovascular Physiology
• Computational Fluid Dynamics
• Medical Imaging

Background:

• Coronary artery disease involves complex hemodynamic changes due to plaque formation, rupture, and thrombosis.
• Accurate modeling of coronary hemodynamics, particularly at stenotic regions, is crucial for understanding myocardial ischemia and infarction.
• Existing 3D simulations offer high resolution but are computationally expensive, limiting their clinical application.

Purpose of the Study:

• To develop and validate a hybrid 1D-3D simulation framework for efficient, patient-specific coronary hemodynamics computation.
• To assess the accuracy and computational cost savings of the hybrid model compared to full 3D simulations.
• To enable the study of shear-sensitive thrombotic events in coronary artery disease.

Main Methods:

• A hybrid 1D-3D simulation framework was developed, coupling a 1D coronary flow model with an image-based 3D model of the region of interest.
• The framework utilizes reduced-order modeling to decrease computational cost while maintaining accuracy.
• Validation was performed against full 3D coronary simulations in both healthy and diseased conditions.

Main Results:

• The 1D-3D model demonstrated good agreement with full 3D simulations in healthy and diseased states.
• Computational cost was reduced 40-fold compared to traditional 3D simulations.
• The model accurately predicted coronary flow distribution (within 3%), fractional flow reserve, and wall shear stress at the stenosis.

Conclusions:

• The hybrid 1D-3D simulation framework offers significant computational savings for patient-specific coronary hemodynamics.
• This approach is particularly advantageous for modeling dynamic changes, such as growing thrombosis, and quantifying their impact on coronary circulation.
• The validated model provides a powerful tool for investigating thrombotic events and their consequences in coronary artery disease.