Evidence map›Paper›PMID 41959684›Full record

ArticleEngineering with computers2026

Parameterized shape optimization of a bi-leaflet heart valved conduit for pediatric applications.

Chuan Luo, Kewei Li, Abigail R Herschman, Mingze Sun, Haim Waisman, Vijay Vedula, Jeffrey W Kysar, David Kalfa

Abstract read
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In one paragraph

Article in Engineering with computers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chuan LuoDepartment of Surgery, Division of Cardiac, Thoracic and Vascular Surgery, Section of Pediatric and Congenital Cardiac Surgery, New-York Presbyterian - Morgan Stanley Children's Hospital, Columbia University Medical Center, New York, NY, USA.
Kewei LiDepartment of Surgery, Division of Cardiac, Thoracic and Vascular Surgery, Section of Pediatric and Congenital Cardiac Surgery, New-York Presbyterian - Morgan Stanley Children's Hospital, Columbia University Medical Center, New York, NY, USA.
Abigail R HerschmanDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Mingze SunDepartment of Surgery, Division of Cardiac, Thoracic and Vascular Surgery, Section of Pediatric and Congenital Cardiac Surgery, New-York Presbyterian - Morgan Stanley Children's Hospital, Columbia University Medical Center, New York, NY, USA.
Haim WaismanDepartment of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY, USA.
Vijay VedulaDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Jeffrey W KysarDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
David KalfaDepartment of Cardiac Surgery, Heart Institute, Nicklaus Children's Hospital, Miami, FL, USA.

Funding

An expandable polymeric valved conduit to repair congenital heart diseaseR01HL155381 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FERRARI, GIOVANNI · 2021 to 2025
$2.8M
NHLBI NIH HHS R01 HL155381
6 · The paper itself

Abstract

Congenital heart defects could affect the right ventricular outflow tract in pediatric patients. As a result, pediatric pulmonary valve replacements are often needed to effectively mediate unidirectional blood flow from the right ventricle to the pulmonary artery. The present work aims to optimize a parameterized shape of a bi-leaflet heart-valved conduit using multi-objective optimization algorithms. We developed an integrated framework that automatically facilitates the design, structural mechanics simulation, and design optimization of the prosthetic valve. Bezier curves are employed to represent the geometric profile of both the free edge and the attachment edge of the leaflets, while a genetic algorithm updates the parameterized design variables during optimization. A quasi-static finite element analysis (FEA) model simulates valve opening and closure mechanics under a prescribed hemodynamic pressure profile. The objective is to find the optimal leaflet shape, enhancing durability and functionality by minimizing the leaflets' maximum principal stress and the orifice area at valve closure. An optimized design is selected from the final Pareto fronts for prototyping. Numerical results demonstrate an improved performance of the optimized valve over the initial design, indicating the complex impact of the valve geometry on valve performance metrics and underscoring the imperative for design optimization. The performance of optimal valve design is further analyzed using fluid-structure interaction (FSI) modeling to evaluate its performance under dynamic loading conditions.

Indexed as

Fluid-structure interactionGenetic algorithmProsthetic valvePulmonary valveShape optimization

Identifiers

PMID41959684
PMCPMC13059700

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.