Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery

Daeseung Kim, Huaming Mai, Chien Ming Chang, Dennis Chun Yu Ho, Xiaoyan Zhang, Shunyao Shen, Peng Yuan, Guangming Zhang, Jaime Gateno, Xiaobo Zhou, Michael A K Liebschner, James J. Xia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

It is clinically important to accurately predict facial soft tissue changes following bone movements in orthognathic surgical planning. However, the current simulation methods are still problematic, especially in clinically critical regions, e.g., the nose, lips and chin. In this study, finite element method (FEM) simulation model with realistic tissue sliding effects was developed to increase the prediction accuracy in critical regions. First, the facial soft-tissuechange following bone movements was simulated using FEM with sliding effect with nodal force constraint. Subsequently, sliding effect with a nodal displacement constraint was implemented by reassigning the bone-soft tissue mapping and boundary condition for realistic sliding movement simulation. Our method has been quantitatively evaluated using 30 patient datasets. The FEM simulation method with the realistic sliding effects showed significant accuracy improvement in the whole face and the critical areas (i.e., lips, nose and chin) in comparison with the traditional FEM method.

Original languageEnglish (US)
Title of host publicationMedical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings
EditorsHongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin
PublisherSpringer-Verlag
Pages27-37
Number of pages11
ISBN (Print)9783319437743
DOIs
StatePublished - 2016
Event7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016 - Bern, Switzerland
Duration: Aug 24 2016Aug 26 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9805 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016
CountrySwitzerland
CityBern
Period8/24/168/26/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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