Literature DB >> 19275435

Development and validation of a three-dimensional finite element model of the face.

G G Barbarino1, M Jabareen, J Trzewik, A Nkengne, G Stamatas, E Mazza.   

Abstract

A detailed three-dimensional finite element model of the face is presented in this paper. Bones, muscles, skin, fat, and superficial muscoloaponeurotic system were reconstructed from magnetic resonance images and modeled according to anatomical, plastic, and reconstructive surgery literature. The finite element mesh, composed of hexahedron elements, was generated through a semi-automatic procedure with an effective compromise between the detailed representation of anatomical parts and the limitation of the computational time. Nonlinear constitutive equations are implemented in the finite element model. The corresponding model parameters were selected according to previous work with mechanical measurements on soft facial tissue, or based on reasonable assumptions. Model assumptions concerning tissue geometry, interactions, mechanical properties, and the boundary conditions were validated through comparison with experiments. The calculated response of facial tissues to gravity loads, to the application of a pressure inside the oral cavity and to the application of an imposed displacement was shown to be in good agreement with the data from corresponding magnetic resonance images and holographic measurements. As a first application, gravimetric soft tissue descent was calculated from the long time action of gravity on the face in the erect position, with tissue aging leading to a loss of stiffness. Aging predictions are compared with the observations from an "aging database" with frontal photos of volunteers at different age ranges (i.e., 20-40 years and 50-70 years).

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Year:  2009        PMID: 19275435     DOI: 10.1115/1.3049857

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  7 in total

1.  An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation.

Authors:  Xiaoyan Zhang; Zhen Tang; Michael A K Liebschner; Daeseung Kim; Shunyao Shen; Chien-Ming Chang; Peng Yuan; Guangming Zhang; Jaime Gateno; Xiaobo Zhou; Shao-Xiang Zhang; James J Xia
Journal:  Ann Biomed Eng       Date:  2015-10-13       Impact factor: 3.934

2.  Simulated effects of head movement on contact pressures between headforms and N95 filtering facepiece respirators-part 1: headform model and validation.

Authors:  Zhipeng Lei; Xuewu Ji; Ning Li; James Yang; Ziqing Zhuang; Dana Rottach
Journal:  Ann Occup Hyg       Date:  2014-09-03

3.  Improved Rubin-Bodner model for the prediction of soft tissue deformations.

Authors:  Guangming Zhang; James J Xia; Michael Liebschner; Xiaoyan Zhang; Daeseung Kim; Xiaobo Zhou
Journal:  Med Eng Phys       Date:  2016-10-04       Impact factor: 2.242

4.  Incremental kernel ridge regression for the prediction of soft tissue deformations.

Authors:  Binbin Pan; James J Xia; Peng Yuan; Jaime Gateno; Horace H S Ip; Qizhen He; Philip K M Lee; Ben Chow; Xiaobo Zhou
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

5.  An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation.

Authors:  Xiaoyan Zhang; Daeseung Kim; Shunyao Shen; Peng Yuan; Siting Liu; Zhen Tang; Guangming Zhang; Xiaobo Zhou; Jaime Gateno; Michael A K Liebschner; James J Xia
Journal:  Biomech Model Mechanobiol       Date:  2017-10-12

6.  Prediction of soft tissue deformations after CMF surgery with incremental kernel ridge regression.

Authors:  Binbin Pan; Guangming Zhang; James J Xia; Peng Yuan; Horace H S Ip; Qizhen He; Philip K M Lee; Ben Chow; Xiaobo Zhou
Journal:  Comput Biol Med       Date:  2016-05-07       Impact factor: 4.589

7.  sEMG-assisted inverse modelling of 3D lip movement: a feasibility study towards person-specific modelling.

Authors:  Merijn Eskes; Alfons J M Balm; Maarten J A van Alphen; Ludi E Smeele; Ian Stavness; Ferdinand van der Heijden
Journal:  Sci Rep       Date:  2017-12-18       Impact factor: 4.379

  7 in total

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