Feasibility of patient specific aortic blood flow CFD simulation

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Computational Science

Background:

• Accurate modeling of blood flow in the aorta is crucial for understanding cardiovascular health.
• Patient-specific models offer personalized insights into hemodynamics.

Purpose of the Study:

• To develop and validate patient-specific computational fluid dynamics (CFD) models for human aorta blood flow.
• To compare CFD simulation results with magnetic resonance imaging (MRI) measurements.

Main Methods:

• Utilized magnetic resonance imaging (MRI) for acquiring patient-specific aortic geometry and velocity data.
• Employed automatic level-set segmentation and meshing for model creation.
• Performed CFD simulations to analyze blood flow patterns.
• Validated simulation data against in-vivo MRI measurements.

Main Results:

• Developed a comprehensive workflow integrating MRI and CFD for patient-specific aortic flow analysis.
• Demonstrated strong agreement between CFD-derived velocity patterns and MRI measurements.
• The computational results closely matched the measured data.

Conclusions:

• Patient-specific CFD modeling, integrated with MRI, provides a reliable method for analyzing aortic blood flow.
• This approach enables accurate hemodynamic assessment for personalized cardiovascular care.