In vivo bone strain and finite element modeling of a rhesus macaque mandible during mastication.

Published

Journal Article

Finite element analysis (FEA) is a commonly used tool in musculoskeletal biomechanics and vertebrate paleontology. The accuracy and precision of finite element models (FEMs) are reliant on accurate data on bone geometry, muscle forces, boundary conditions and tissue material properties. Simplified modeling assumptions, due to lack of in vivo experimental data on material properties and muscle activation patterns, may introduce analytical errors in analyses where quantitative accuracy is critical for obtaining rigorous results. A subject-specific FEM of a rhesus macaque mandible was constructed, loaded and validated using in vivo data from the same animal. In developing the model, we assessed the impact on model behavior of variation in (i) material properties of the mandibular trabecular bone tissue and teeth; (ii) constraints at the temporomandibular joint and bite point; and (iii) the timing of the muscle activity used to estimate the external forces acting on the model. The best match between the FEA simulation and the in vivo experimental data resulted from modeling the trabecular tissue with an isotropic and homogeneous Young's modulus and Poisson's value of 10GPa and 0.3, respectively; constraining translations along X,Y, Z axes in the chewing (left) side temporomandibular joint, the premolars and the m1; constraining the balancing (right) side temporomandibular joint in the anterior-posterior and superior-inferior axes, and using the muscle force estimated at time of maximum strain magnitude in the lower lateral gauge. The relative strain magnitudes in this model were similar to those recorded in vivo for all strain locations. More detailed analyses of mandibular strain patterns during the power stroke at different times in the chewing cycle are needed.

Full Text

Duke Authors

Cited Authors

  • Panagiotopoulou, O; Iriarte-Diaz, J; Wilshin, S; Dechow, PC; Taylor, AB; Mehari Abraha, H; Aljunid, SF; Ross, CF

Published Date

  • October 2017

Published In

Volume / Issue

  • 124 /

Start / End Page

  • 13 - 29

PubMed ID

  • 29037463

Pubmed Central ID

  • 29037463

Electronic International Standard Serial Number (EISSN)

  • 1873-2720

Digital Object Identifier (DOI)

  • 10.1016/j.zool.2017.08.010

Language

  • eng

Conference Location

  • Germany