Multicompartment Darcy Flow Model With Patient-Specific Parameterization: Effect of Heterogeneity and Anisotropy in...

Area of Science:

• Computational modeling
• Biomedical engineering
• Cardiovascular science

Background:

• Cardiac perfusion deficits are a major cause of heart disease.
• Current homogeneous models lack patient-specific complexity.
• Accurate modeling aids in understanding and treating cardiac conditions.

Purpose of the Study:

• To develop a computational framework for modeling cardiac perfusion.
• To incorporate heterogeneous anisotropic flow and vessel mechanics.
• To enable patient-specific cardiac simulations.

Main Methods:

• Developed a multicompartment Darcy flow model.
• Incorporated nonlinear vessel deformation and poroelasticity.
• Used realistic vascular data for parameter derivation.

Main Results:

• The heterogeneous anisotropic model accurately predicts perfusion.
• It captures spatial heterogeneity and permeability transitions.
• The model successfully simulates patient-specific conditions like blockages.

Conclusions:

• The proposed model offers superior accuracy over homogeneous models.
• It provides valuable insights for personalized cardiac medicine.
• This framework has potential for clinical applications in diagnosing and managing heart disease.