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Real-time simulation of the transplanted tooth using model order reduction

The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the transplanted tooth, but the construction of a FE mo...

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Autores principales: Lahoud, Pierre, Badrou, Arif, Ducret, Maxime, Farges, Jean-Christophe, Jacobs, Reinhilde, Bel-Brunon, Aline, EzEldeen, Mostafa, Blal, Nawfal, Richert, Raphaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339382/
https://www.ncbi.nlm.nih.gov/pubmed/37456726
http://dx.doi.org/10.3389/fbioe.2023.1201177
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author Lahoud, Pierre
Badrou, Arif
Ducret, Maxime
Farges, Jean-Christophe
Jacobs, Reinhilde
Bel-Brunon, Aline
EzEldeen, Mostafa
Blal, Nawfal
Richert, Raphaël
author_facet Lahoud, Pierre
Badrou, Arif
Ducret, Maxime
Farges, Jean-Christophe
Jacobs, Reinhilde
Bel-Brunon, Aline
EzEldeen, Mostafa
Blal, Nawfal
Richert, Raphaël
author_sort Lahoud, Pierre
collection PubMed
description The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the transplanted tooth, but the construction of a FE model is extremely time-consuming. Model order reduction (MOR) techniques have been used in the medical field to reduce computing time, and the present study aimed to develop a reduced model of a transplanted tooth using the higher-order proper generalized decomposition method. The FE model of a previous study was used to learn von Mises root stress, and axial and lateral forces were used to simulate different occlusions between 75 and 175N. The error of the reduced model varied between 0.1% and 5.9% according to the subdomain, and was the highest for the highest lateral forces. The time for the FE simulation varied between 2.3 and 7.2 h. In comparison, the reduced model was built in 17s and interpolation of new results took approximately 2.10(−2)s. The use of MOR reduced the time for delivering the root stresses by a mean 5.9 h. The biomechanical behavior of a transplanted tooth simulated by FE models was accurately captured with a significant decrease of computing time. Future studies could include using jaw tracking devices for clinical use and the development of more realistic real-time simulations of tooth autotransplantation surgery.
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spelling pubmed-103393822023-07-14 Real-time simulation of the transplanted tooth using model order reduction Lahoud, Pierre Badrou, Arif Ducret, Maxime Farges, Jean-Christophe Jacobs, Reinhilde Bel-Brunon, Aline EzEldeen, Mostafa Blal, Nawfal Richert, Raphaël Front Bioeng Biotechnol Bioengineering and Biotechnology The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the transplanted tooth, but the construction of a FE model is extremely time-consuming. Model order reduction (MOR) techniques have been used in the medical field to reduce computing time, and the present study aimed to develop a reduced model of a transplanted tooth using the higher-order proper generalized decomposition method. The FE model of a previous study was used to learn von Mises root stress, and axial and lateral forces were used to simulate different occlusions between 75 and 175N. The error of the reduced model varied between 0.1% and 5.9% according to the subdomain, and was the highest for the highest lateral forces. The time for the FE simulation varied between 2.3 and 7.2 h. In comparison, the reduced model was built in 17s and interpolation of new results took approximately 2.10(−2)s. The use of MOR reduced the time for delivering the root stresses by a mean 5.9 h. The biomechanical behavior of a transplanted tooth simulated by FE models was accurately captured with a significant decrease of computing time. Future studies could include using jaw tracking devices for clinical use and the development of more realistic real-time simulations of tooth autotransplantation surgery. Frontiers Media S.A. 2023-06-29 /pmc/articles/PMC10339382/ /pubmed/37456726 http://dx.doi.org/10.3389/fbioe.2023.1201177 Text en Copyright © 2023 Lahoud, Badrou, Ducret, Farges, Jacobs, Bel-Brunon, EzEldeen, Blal and Richert. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Lahoud, Pierre
Badrou, Arif
Ducret, Maxime
Farges, Jean-Christophe
Jacobs, Reinhilde
Bel-Brunon, Aline
EzEldeen, Mostafa
Blal, Nawfal
Richert, Raphaël
Real-time simulation of the transplanted tooth using model order reduction
title Real-time simulation of the transplanted tooth using model order reduction
title_full Real-time simulation of the transplanted tooth using model order reduction
title_fullStr Real-time simulation of the transplanted tooth using model order reduction
title_full_unstemmed Real-time simulation of the transplanted tooth using model order reduction
title_short Real-time simulation of the transplanted tooth using model order reduction
title_sort real-time simulation of the transplanted tooth using model order reduction
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339382/
https://www.ncbi.nlm.nih.gov/pubmed/37456726
http://dx.doi.org/10.3389/fbioe.2023.1201177
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