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

doi:10.1007/978-3-319-43775-0_3

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 proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings
Editors	Hongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin
Publisher	Springer Verlag
Pages	27-37
Number of pages	11
ISBN (Print)	9783319437743
DOIs	https://doi.org/10.1007/978-3-319-43775-0_3
Publication status	Published - 2016
Externally published	Yes
Event	7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016 - Bern, Switzerland Duration: Aug 24 2016 → Aug 26 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9805 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016
Country/Territory	Switzerland
City	Bern
Period	8/24/16 → 8/26/16

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-43775-0_3

Cite this

Kim, D., Mai, H., Chang, C. M., Ho, D. C. Y., Zhang, X., Shen, S., Yuan, P., Zhang, G., Gateno, J., Zhou, X., Liebschner, M. A. K., & Xia, J. J. (2016). Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery. In H. Liao, G. Zheng, S.-L. Lee, P. Cattin, & P. Jannin (Eds.), Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings (pp. 27-37). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9805 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-43775-0_3

Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery. / Kim, Daeseung; Mai, Huaming; Chang, Chien Ming et al.
Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. ed. / Hongen Liao; Guoyan Zheng; Su-Lin Lee; Philippe Cattin; Pierre Jannin. Springer Verlag, 2016. p. 27-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9805 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, D, Mai, H, Chang, CM, Ho, DCY, Zhang, X, Shen, S, Yuan, P, Zhang, G, Gateno, J, Zhou, X, Liebschner, MAK & Xia, JJ 2016, Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery. in H Liao, G Zheng, S-L Lee, P Cattin & P Jannin (eds), Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9805 LNCS, Springer Verlag, pp. 27-37, 7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, Bern, Switzerland, 8/24/16. https://doi.org/10.1007/978-3-319-43775-0_3

Kim D, Mai H, Chang CM, Ho DCY, Zhang X, Shen S et al. Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery. In Liao H, Zheng G, Lee SL, Cattin P, Jannin P, editors, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag. 2016. p. 27-37. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-43775-0_3

Kim, Daeseung ; Mai, Huaming ; Chang, Chien Ming et al. / Fem simulation with realistic sliding effect to improve facial-soft-tissue-change prediction accuracy for orthognathic surgery. Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. editor / Hongen Liao ; Guoyan Zheng ; Su-Lin Lee ; Philippe Cattin ; Pierre Jannin. Springer Verlag, 2016. pp. 27-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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

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year = "2016",

doi = "10.1007/978-3-319-43775-0_3",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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AU - Kim, Daeseung

AU - Mai, Huaming

AU - Chang, Chien Ming

AU - Ho, Dennis Chun Yu

AU - Zhang, Xiaoyan

AU - Shen, Shunyao

AU - Yuan, Peng

AU - Zhang, Guangming

AU - Gateno, Jaime

AU - Zhou, Xiaobo

AU - Liebschner, Michael A.K.

AU - Xia, James J.

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N2 - 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.

AB - 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.

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

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