Computational Biomechanics: In-Silico Tools for the Investigation of Surgical Procedures and Devices.

computational methods constitutive model dental implantology surgery

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
30 May 2020
Historique:
received: 12 05 2020
revised: 25 05 2020
accepted: 28 05 2020
entrez: 4 6 2020
pubmed: 4 6 2020
medline: 4 6 2020
Statut: epublish

Résumé

Biomechanical investigations of surgical procedures and devices are usually developed by means of human or animal models. The exploitation of computational methods and tools can reduce, refine, and replace (3R) the animal experimentations for scientific purposes and for pre-clinical research. The computational model of a biological structure characterizes both its geometrical conformation and the mechanical behavior of its building tissues. Model development requires coupled experimental and computational activities. Medical images and anthropometric information provide the geometrical definition of the computational model. Histological investigations and mechanical tests on tissue samples allow for characterizing biological tissues' mechanical response by means of constitutive models. The assessment of computational model reliability requires comparing model results and data from further experimentations. Computational methods allow for the in-silico analysis of surgical procedures and devices' functionality considering many different influencing variables, the experimental investigation of which should be extremely expensive and time consuming. Furthermore, computational methods provide information that experimental methods barely supply, as the strain and the stress fields that regulate important mechano-biological phenomena. In this work, general notes about the development of biomechanical tools are proposed, together with specific applications to different fields, as dental implantology and bariatric surgery.

Identifiants

pubmed: 32486216
pii: bioengineering7020048
doi: 10.3390/bioengineering7020048
pmc: PMC7357080
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Emanuele Luigi Carniel (EL)

Department of Industrial Engineering, Centre for Mechanics of Biological Materials, University of Padova, I-35131 Padova, Italy.

Ilaria Toniolo (I)

Department of Industrial Engineering, Centre for Mechanics of Biological Materials, University of Padova, I-35131 Padova, Italy.

Chiara Giulia Fontanella (CG)

Department of Industrial Engineering, Centre for Mechanics of Biological Materials, University of Padova, I-35131 Padova, Italy.

Classifications MeSH