Geometry Optimization of Idealized Total Cavopulmonary Connection Using a CFD-Based Framework
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F25%3A00386245" target="_blank" >RIV/68407700:21340/25:00386245 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-94562-5_36" target="_blank" >https://doi.org/10.1007/978-3-031-94562-5_36</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-94562-5_36" target="_blank" >10.1007/978-3-031-94562-5_36</a>
Alternative languages
Result language
angličtina
Original language name
Geometry Optimization of Idealized Total Cavopulmonary Connection Using a CFD-Based Framework
Original language description
A computational fluid dynamics-based framework for optimizing 3D geometry in an idealized total cavopulmonary connection (TCPC) is presented. The TCPC is a surgical procedure designed to treat congenital heart defects involving a single functional ventricle. The presented custom optimization framework integrates Python-based geometry generation, lattice Boltzmann method (LBM) simulations, and gradient-free optimization algorithms, including Nelder-Mead and the Mesh Adaptive Direct Search methods. The three optimization steps generation of parameterized 3D geometry, simulation of incompressible Newtonian fluid flow with a rigid wall, and evaluation of objective functions - are executed automatically. The massively parallel implementation of LBM on GPUs allows the use of a spatial resolution suitable for optimizing the flow metrics sensitive to the actual resolution, such as the turbulent kinetic energy or near-wall shear rate. A simplified, parameterized model of the TCPC geometry was used to test the framework, demonstrating its feasibility and effectiveness. While this study focuses on idealized geometries with simplified assumptions, the results provide a foundation for extending the framework to patient-specific data and more complex physiological scenarios. This work represents a step in applying computational optimization to cardiovascular surgery, with the potential to improve clinical outcomes and patient-specific treatment planning.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/LUAUS25049" target="_blank" >LUAUS25049: Translation of mathematical modeling and optimization techniques to cardiovascular medicine</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Functional Imaging and Modeling of the Heart
ISBN
978-3-031-94558-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
397-406
Publisher name
Springer Nature Publishing AG
Place of publication
Cham
Event location
Dallas
Event date
Jun 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001527426700036