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Related Experiment Video

Updated: Jun 19, 2026

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

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.

Keywords:

Fluid–structure interaction Immersogeometric analysis Parametric modeling TAVR Transcatheter heart valve

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Last Updated: Jun 19, 2026

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

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Published on: June 3, 2018

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In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

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Published on: February 25, 2022

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.