Patient specific Finite Element model of the face soft tissue for computer-assisted maxillofacial surgery
type: Distribution
access URL: https://hal.science/hal-00080387
format: HTML
issued: 2026-05-12T05:01:27.085756
modified: 2026-05-12T05:01:27.038767

Patient specific Finite Element model of the face soft tissue for computer-assisted maxillofacial surgery
type: Dataset
contact point: Organization
  fn: CCSD
keyword: spimecabiomengineering-sciences-physicsmechanics-physicsmed-phbiomechanics-physicsmed-p
keyword: computer-aided-maxillofacial-surgery
keyword: elastic-registration
keyword: physmecabiomphysics-physicsmechanics-physicsbiomechanics-physicsmed-ph
keyword: mesh-conformation
keyword: journal-articles
keyword: finite-element-method
keyword: infoeu-reposemanticsarticle
keyword: finite-element-mesh-regularity
landing page: 1361-8415
description: This paper addresses the prediction of face soft tissue deformations resulting from bone repositioning in maxillofacial surgery. A generic 3D Finite Element model of the face soft tissues was developed. Face muscles are defined in the mesh as embedded structures, with different mechanical properties (transverse isotropy, stiffness depending on muscle contraction). Simulations of face deformations under muscle actions can thus be performed. In the context of maxillofacial surgery, this generic soft-tissue model is automatically conformed to patient morphology by elastic registration, using skin and skull surfaces segmented from a CT scan. Some elements of the patient mesh could be geometrically distorted during the registration, which disables Finite Element analysis. Irregular elements are thus detected and automatically regularized. This semi-automatic patient model generation is robust, fast and easy to use. Therefore it seems compatible with clinical use. Six patient models were successfully built, and simulations of soft tissue deformations resulting from bone displacements performed on two patient models. Both the adequation of the models to the patient morphologies and the simulations of post-operative aspects were qualitatively validated by five surgeons. Their conclusions are that the models fit the morphologies of the patients, and that the predicted soft tissue modifications are coherent with what they would expect.
issued: 2026-05-12T05:01:27.053447
language: en
modified: 2026-05-12T05:01:27.053451

test_moissonnage_selune
type: Agent