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Updated: Oct 19, 2025

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
A design-based model of the aortic valve for fluid-structure interaction
Alexander D Kaiser1,2,3, Rohan Shad4,5, William Hiesinger4,5
1Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA. alexdkaiser@stanford.edu.
This study introduces a new computational model for aortic valve mechanics, simulating blood interaction. The model accurately predicts valve function and informs prosthetic valve design.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Cardiovascular Mechanics
Background:
- Aortic valve dysfunction affects millions globally, necessitating improved understanding and treatment.
- Current models often lack the precision to capture complex leaflet mechanics under physiological loads.
- Accurate simulation of aortic valve function is crucial for developing effective prosthetic devices.
Purpose of the Study:
- To develop a novel, first-principles-based computational model for aortic valve mechanics.
- To simulate the fluid-structure interaction between the aortic valve and blood flow.
- To derive insights into optimal design parameters for prosthetic aortic valves.
Main Methods:
- Derivation of partial differential equations governing leaflet mechanical equilibrium based on pressure support requirements.
- Development of a predicted loaded configuration, reference configuration, and constitutive law.
- Fluid-structure interaction simulations using the immersed boundary method.
Main Results:
- The model demonstrates reliable sealing under physiological pressures and free opening over cardiac cycles.
- Valve closure remains robust across a wide range of pressures (hypotensive to hypertensive).
- Key determinants of valve function include loaded geometry, tensions, and tangent moduli.
Conclusions:
- Nonlinear material response is essential for valve function across varying pressures.
- Prosthetic valve design should prioritize specific gross morphology and material properties, particularly free edge length and leaflet height.
- The developed modeling framework is adaptable for patient-specific vascular and cardiac flow simulations.
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