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Heart Valves

Heart Valves

The human heart is a complex organ with an intricate system of valves that regulate blood flow. There are two main types of valves: atrioventricular (AV) valves and semilunar valves.
The AV valves prevent the backflow of blood from the ventricles to the atria during ventricular contraction. These valves function with the assistance of the chordae tendineae and papillary muscles. When the ventricles are relaxed, the chordae tendineae are slack, allowing blood to flow from the atria into the...

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Related Experiment Video

Updated: Apr 30, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Computational modeling of cardiac valve function and intervention.

Wei Sun¹, Caitlin Martin, Thuy Pham

¹Tissue Mechanics Lab, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30313;

Annual Review of Biomedical Engineering

|May 14, 2014

Summary

This summary is machine-generated.

Advances in noninvasive cardiac imaging enable 3D reconstruction of heart valves. This allows for patient-specific computational models to investigate biomechanical function and improve surgical planning for valvular heart disease.

Keywords:

aortic valve cardiac imaging finite element analysis heart valve mitral valve

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Last Updated: Apr 30, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

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Area of Science:

Cardiovascular imaging and computational biomechanics.
Focus on valvular heart disease (VHD) research and clinical applications.

Background:

Significant progress in noninvasive cardiac imaging over the last 20 years.
Current clinical evaluation of VHD primarily uses 2D imaging, despite the availability of 3D volumetric data.

Purpose of the Study:

To review advances in creating patient-specific computational models of heart valves.
To explore the integration of 3D imaging data with computational methods for VHD analysis and intervention planning.

Main Methods:

Reconstruction of patient-specific 3D heart valve geometry from imaging data.
Development of computational models incorporating tissue properties, loading, and boundary conditions.
Utilizing 3D volumetric, time-resolved data for realistic structural analysis.

Main Results:

3D data allows for detailed reconstruction of native heart valve geometry.
Integration with computational models enables investigation of biomechanical function.
Potential for developing advanced preoperative planning tools for VHD interventions.

Conclusions:

Leveraging 3D cardiac imaging data with computational modeling is crucial for advancing VHD research.
This approach enhances understanding of valve biomechanics and supports personalized surgical strategies.
Future directions involve refining geometry reconstruction, tissue modeling, and boundary condition definitions for accurate analysis.