Subject-Specific Modeling of Facial Mimics derived from MRI data using FEM - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Subject-Specific Modeling of Facial Mimics derived from MRI data using FEM

Ang Xiao Fan
  • Fonction : Auteur
  • PersonId : 1038191
Stéphanie Dakpé
Tien Tuan Dao
Philippe Pouletaut
Mohamed Rachik
  • Fonction : Auteur
  • PersonId : 1038192

Résumé

A muscle-driven model of human lower face was established. Three pairs of fac ial mimic muscles (ZM-Zygomaticus Major, LLS-Levator Labii Superioris, LAO-Levator Anguli Oris), subcutaneous soft tissues, skin and skull were reconstructed based on segmentation of subject-specific MRI data. FE simulation were performed to reproduc e designed facial mimic positions (e.g. pronunciation of sound /o/ ), with comparison to experimental measurements. Muscle was modeled as a transversely-isotropic hyperelastic material with autonomous contraction.
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Dates et versions

hal-01908921 , version 1 (30-10-2018)

Identifiants

  • HAL Id : hal-01908921 , version 1

Citer

Ang Xiao Fan, Stéphanie Dakpé, Tien Tuan Dao, Philippe Pouletaut, Mohamed Rachik, et al.. Subject-Specific Modeling of Facial Mimics derived from MRI data using FEM. 13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France. ⟨hal-01908921⟩
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