Experimental and Numerical Characterization of the Mechanical Masseter Muscle Response During Biting

Author:

Weickenmeier J.12,Jabareen M.3,Le Révérend B. J. D.4,Ramaioli M.5,Mazza E.67

Affiliation:

1. Department of Mechanical Engineering, Stanford University, Stanford, CA 94305;

2. Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland e-mail:

3. Faculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel

4. Nestlé Research Center, Rte du Jorat 57, CH-1000 Lausanne 26, Lausanne CH-3008, Switzerland

5. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK

6. Swiss Federal Laboratories for Materials Science and Technology—EMPA, Duebendorf 8600, Switzerland;

7. Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland

Abstract

Predictive simulations of the mastication system would significantly improve our understanding of temporomandibular joint (TMJ) disorders and the planning of cranio-maxillofacial surgery procedures. Respective computational models must be validated by experimental data from in vivo characterization of the mastication system's mechanical response. The present pilot-study demonstrates the feasibility of a combined experimental and numerical procedure to validate a computer model of the masseter muscle. An experimental setup is proposed that provides a simultaneous bite force measurement and ultrasound-based visualization of muscle deformation. The direct comparison of the experimentally observed and numerically predicted muscle response demonstrates the predictive capabilities of such anatomically accurate biting models. Differences between molar and incisor biting are investigated; muscle deformation is recorded for three different bite forces in order to capture the effect of increasing muscle fiber recruitment. The three-dimensional (3D) muscle deformation at each bite position and force-level is approximatively reconstructed from ultrasound measurements in five distinct cross-sectional areas (four horizontal and one vertical cross section). The experimental work is accompanied by numerical simulations to validate the predictive capabilities of a constitutive muscle model previously formulated. An anatomy-based, fully 3D model of the masseter muscle is created from magnetic resonance images (MRI) of the same subject. The direct comparison of experimental and numerical results revealed good agreement for maximum bite forces and masseter deformations in both biting positions. The present work therefore presents a feasible in vivo measurement system to validate numerically predicted masseter muscle contractions during mastication.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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