Haemodynamic optimisation of a dialysis graft design using a global optimisation approach
Autor: | Wouter Huberts, Tammo Delhaas, Sjeng Quicken, Barend Mees |
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Přispěvatelé: | Cardiovascular Biomechanics, RS: Carim - H07 Cardiovascular System Dynamics, Biomedische Technologie, Vascular Surgery, MUMC+: MA Med Staf Spec Vaatchirurgie (9), RS: Carim - V03 Regenerative and reconstructive medicine vascular disease |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Graft dysfunction
Cfd simulation BLOOD Future studies Computer science geometric optimisation Biomedical Engineering computational fluid dynamics Cardiovascular Stress Veins sensitivity analysis Control theory Models Renal Dialysis HELICAL FLOW Research Article ‐ Applications Computer Simulation POLYNOMIAL CHAOS Molecular Biology Research Article ‐ Application polynomial chaos expansion BIFURCATION Applied Mathematics Models Cardiovascular Hemodynamics PERFORMANCE Mechanical surgical procedures operative Computational Theory and Mathematics Modeling and Simulation Disturbed flow Arteriovenous grafts Stress Mechanical arteriovenous grafts SPIRAL LAMINAR-FLOW Software Helical flow |
Zdroj: | International Journal for Numerical Methods in Biomedical Engineering, 37(2):e3423. Wiley-Blackwell International Journal for Numerical Methods in Biomedical Engineering |
ISSN: | 2040-7939 |
Popis: | Disturbed flow and the resulting non‐physiological wall shear stress (WSS) at the graft‐vein anastomosis play an important role in arteriovenous graft (AVG) patency loss. Modifying graft geometry with helical features is a popular approach to minimise the occurrence of detrimental haemodynamics and to potentially increase graft longevity. Haemodynamic optimisation of AVGs typically requires many computationally expensive computational fluid dynamics (CFD) simulations to evaluate haemodynamic performance of different graft designs. In this study, we aimed to develop a haemodynamically optimised AVG by using an efficient meta‐modelling approach. A training dataset containing CFD evaluations of 103 graft designs with helical features was used to develop computationally low‐cost meta‐models for haemodynamic metrics related to graft dysfunction. During optimisation, the meta‐models replaced CFD simulations that were otherwise needed to evaluate the haemodynamic performance of possible graft designs. After optimisation, haemodynamic performance of the optimised graft design was verified using a CFD simulation. The obtained optimised graft design contained both a helical graft centreline and helical ridge. Using the optimised design, the magnitude of flow disturbances and the size of the anastomotic areas exposed to non‐physiological WSS was successfully reduced compared to a regular straight graft. Our meta‐modelling approach allowed to reduce the total number of CFD model evaluations required for our design optimisation by approximately a factor 2000. The applied efficient meta‐modelling technique was successful in identifying an optimal, helical graft design at relatively low computational costs. Future studies should evaluate the in vivo benefits of the developed graft design. In this study an efficient meta‐modelling approach was used to identify a haemodynamically optimised graft design. The meta‐model served as surrogate model for computationally expensive computational fluid dynamics (CFD) simulations and predicted graft performance for different geometries. We have demonstrated that the applied efficient meta‐modelling technique was successful in identifying a helical graft design which minimises the occurrence of flow characteristics related to AVG dysfunction when evaluated by CFD. |
Databáze: | OpenAIRE |
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