Determination of oral mucosal Poisson's ratio and coefficient of friction from in-vivo contact pressure measurements. Issue 4 (11th March 2016)

• Record Type: Journal Article
• Authors: Chen, Junning; Suenaga, Hanako; Hogg, Michael; Li, Wei; Swain, Michael; Li, Qing
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 19:Issue 4(2016)
• Page Start: 357
• Page End: 365
• Publication Date: 2016-03-11
• Subjects: oral mucosa -- apparent Poisson's ratio -- friction coefficient -- in vivo contact pressure -- hyperelastic finite element analysis -- response surface method; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2015.1028925
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract : Despite their considerable importance to biomechanics, there are no existing methods available to directly measure apparent Poisson's ratio and friction coefficient of oral mucosa. This study aimed to develop an inverse procedure to determine these two biomechanical parameters by utilizing in vivo experiment of contact pressure between partial denture and beneath mucosa through nonlinear finite element (FE) analysis and surrogate response surface (RS) modelling technique. First, the in vivo denture–mucosa contact pressure was measured by a tactile electronic sensing sheet. Second, a 3D FE model was constructed based on the patient CT images. Third, a range of apparent Poisson's ratios and the coefficients of friction from literature was considered as the design variables in a series of FE runs for constructing a RS surrogate model. Finally, the discrepancy between computed in silico and measured in vivo results was minimized to identify the best matching Poisson's ratio and coefficient of friction. The established non-invasive methodology was demonstrated effective to identify such biomechanical parameters of oral mucosa and can be potentially used for determining the biomaterial properties of other soft biological tissues.