Real-time simulation of the transplanted tooth using model order reduction.
finite element analysis
machine learning
model order reduction (MOR)
real-time simulation
tooth autotransplantation
Journal
Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513
Informations de publication
Date de publication:
2023
2023
Historique:
received:
06
04
2023
accepted:
19
06
2023
medline:
17
7
2023
pubmed:
17
7
2023
entrez:
17
7
2023
Statut:
epublish
Résumé
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
Identifiants
pubmed: 37456726
doi: 10.3389/fbioe.2023.1201177
pii: 1201177
pmc: PMC10339382
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1201177Informations de copyright
Copyright © 2023 Lahoud, Badrou, Ducret, Farges, Jacobs, Bel-Brunon, EzEldeen, Blal and Richert.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest
Références
Cranio. 2021 Nov 06;:1-7
pubmed: 34743673
J Endod. 2021 May;47(5):827-835
pubmed: 33434565
J Pers Med. 2022 Jun 20;12(6):
pubmed: 35743798
Med Image Anal. 2020 Jan;59:101569
pubmed: 31704451
Int J Oral Sci. 2015 Jun 26;7(2):125-30
pubmed: 25214360
J Dent. 2022 Apr;119:104082
pubmed: 35247471
J Dent. 2008 Jul;36(7):463-71
pubmed: 18455859
J Endod. 2016 Nov;42(11):1687-1692
pubmed: 27614415
Comput Methods Programs Biomed. 2021 Jan;198:105786
pubmed: 33059060
J Dent Res. 2019 Apr;98(4):406-413
pubmed: 30786806
Periodontol 2000. 2019 Feb;79(1):129-150
pubmed: 30892765
Int Endod J. 2022 Apr;55 Suppl 2:471-494
pubmed: 35263455
Materials (Basel). 2020 Jul 23;13(15):
pubmed: 32717945
Dent Mater. 2009 Sep;25(9):1073-81
pubmed: 19368970
Br Dent J. 2019 Sep;227(6):512-517
pubmed: 31562452
Int J Numer Method Biomed Eng. 2018 Mar;34(3):
pubmed: 28898561
Clin Oral Implants Res. 2019 Sep;30(9):920-927
pubmed: 31257638
Cranio. 2014 Jan;32(1):13-23
pubmed: 24660642
Clin Oral Investig. 2022 Aug;26(8):5117-5128
pubmed: 35687196
Clin Oral Investig. 2022 Jun;26(6):4663-4668
pubmed: 35583663
Br J Oral Maxillofac Surg. 2019 Sep;57(7):638-643
pubmed: 31174895
Comput Methods Programs Biomed. 2019 Mar;170:95-106
pubmed: 30712607
J R Soc Interface. 2018 Jan;15(138):
pubmed: 29367242
Open Dent J. 2007;1:1-7
pubmed: 19088874
Angle Orthod. 2005 Jul;75(4):637-44
pubmed: 16097234
J Mech Behav Biomed Mater. 2015 Nov;51:184-93
pubmed: 26253208
Int Endod J. 2021 Apr;54(4):509-535
pubmed: 33128279