Related Experiment Video
Updated: Jun 19, 2026
06:59
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Published on: June 3, 2018
10.5K
Parameterization, algorithmic modeling, and fluid-structure interaction analysis for generative design of
Xianyu George Pan1, Ashton M Corpuz2, Manoj R Rajanna3
1Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN USA.
Engineering with Computers
|December 16, 2024
Summary
This study introduces a parametric modeling approach for transcatheter heart valves (THVs) to improve design flexibility and sizing. This method aids in optimizing THV performance and efficacy for better cardiovascular treatment outcomes.
Area of Science:
- Cardiovascular Engineering
- Biomedical Device Design
- Computational Fluid Dynamics
Background:
- Heart valve diseases necessitate replacement, with transcatheter aortic valve replacement (TAVR) offering a less invasive alternative.
- Challenges in TAVR include precise deployment, accurate valve sizing, and secure anchoring of transcatheter heart valves (THVs).
Purpose of the Study:
- To propose a parametric modeling approach for developing and sizing transcatheter heart valves (THVs).
- To analyze the impact of geometric variations on THV performance using a fluid-structure interaction framework.
Main Methods:
- Developed a parametric modeling framework for flexible THV design and sizing.
- Utilized an immersogeometric fluid-structure interaction (IMGA FSI) framework for analysis.
- Evaluated two distinct THV configurations to demonstrate the model's utility.
Main Results:
- The parametric modeling approach allows for flexible generation of existing and novel THV designs.
- Analysis demonstrated how geometric modifications influence THV performance.
- The study confirmed the effectiveness of parametric modeling in enhancing THV behavior.
Conclusions:
- Parametric modeling offers a powerful tool for optimizing transcatheter heart valve design.
- This approach can lead to improved performance and efficacy of THVs in clinical applications.
- Further development using this framework can enhance future cardiovascular treatments.
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