A multiscale computational modeling for cerebral blood flow with aneurysms and/or stenoses

Area of Science:

• Computational fluid dynamics
• Biomedical engineering
• Vascular modeling

Background:

• Accurate simulation of human vascular networks is crucial for understanding hemodynamics.
• Integrating global circulation with detailed regional analysis presents a significant challenge.

Purpose of the Study:

• To develop and validate a novel 1D-3D multiscale modeling approach for the human vascular network.
• To enable patient-specific simulations with reduced computational cost.

Main Methods:

• Coupling a low-fidelity 1D model for global hemodynamics with a high-fidelity 3D model for zonal vascular segments.
• Direct exchange of flow and pressure data at the 1D-3D interface.
• Validation against experimental data and full 3D simulations in test cases.

Main Results:

• The 1D-3D multiscale model demonstrated good agreement with validation cases.
• The model successfully simulated patient-specific vascular geometries.
• Disease-induced geometric deformations (aneurysm, stenosis) were shown to alter local pressure loss and flow rates.

Conclusions:

• The proposed 1D-3D multiscale model offers an efficient and accurate method for simulating human vascular networks.
• This approach can be applied to study the hemodynamic impact of vascular diseases.
• The model provides a foundation for patient-specific cardiovascular research.