Literature DB >> 34090256

A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.

Daeseung Kim1, Tianshu Kuang1, Yriu L Rodrigues1, Jaime Gateno2, Steve G F Shen3, Xudong Wang3, Kirhyn Stein1, Hannah H Deng1, Michael A K Liebschner4, James J Xia5.   

Abstract

Accurate prediction of facial soft-tissue changes following orthognathic surgery is crucial for surgical outcome improvement. We developed a novel incremental simulation approach using finite element method (FEM) with a realistic lip sliding effect to improve the prediction accuracy in the lip region. First, a lip-detailed mesh is generated based on accurately digitized lip surface points. Second, an improved facial soft-tissue change simulation method is developed by applying a lip sliding effect along with the mucosa sliding effect. Finally, the orthognathic surgery initiated soft-tissue change is simulated incrementally to facilitate a natural transition of the facial change and improve the effectiveness of the sliding effects. Our method was quantitatively validated using 35 retrospective clinical data sets by comparing it to the traditional FEM simulation method and the FEM simulation method with mucosa sliding effect only. The surface deviation error of our method showed significant improvement in the upper and lower lips over the other two prior methods. In addition, the evaluation results using our lip-shape analysis, which reflects clinician's qualitative evaluation, also proved significant improvement of the lip prediction accuracy of our method for the lower lip and both upper and lower lips as a whole compared to the other two methods. In conclusion, the prediction accuracy in the clinically critical region, i.e., the lips, significantly improved after applying incremental simulation with realistic lip sliding effect compared with the FEM simulation methods without the lip sliding effect.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Facial soft-tissue-change prediction; Finite element method; Lip sliding effect; Orthognathic surgery

Mesh:

Year:  2021        PMID: 34090256      PMCID: PMC8316331          DOI: 10.1016/j.media.2021.102095

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   13.828


  23 in total

1.  A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model.

Authors:  Hyungmin Kim; Philipp Jürgens; Stefan Weber; Lutz-Peter Nolte; Mauricio Reyes
Journal:  Prog Biophys Mol Biol       Date:  2010-09-29       Impact factor: 3.667

2.  Anatomically-driven soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model.

Authors:  Hyungmin Kim; Philipp Jürgens; Lutz-Peter Nolte; Mauricio Reyes
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

3.  Virtual model surgery for efficient planning and surgical performance.

Authors:  Suzanne U McCormick; Stephanie J Drew
Journal:  J Oral Maxillofac Surg       Date:  2011-03       Impact factor: 1.895

4.  Current methods of assessing the accuracy of three-dimensional soft tissue facial predictions: technical and clinical considerations.

Authors:  B Khambay; R Ullah
Journal:  Int J Oral Maxillofac Surg       Date:  2014-10-11       Impact factor: 2.789

5.  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

6.  Virtual surgical planning for orthognathic surgery using digital data transfer and an intraoral fiducial marker: the charlotte method.

Authors:  Sam Bobek; Brian Farrell; Chris Choi; Bart Farrell; Katie Weimer; Myron Tucker
Journal:  J Oral Maxillofac Surg       Date:  2014-12-13       Impact factor: 1.895

7.  Accuracy of the computer-aided surgical simulation (CASS) system in the treatment of patients with complex craniomaxillofacial deformity: A pilot study.

Authors:  James J Xia; Jaime Gateno; John F Teichgraeber; Andrew M Christensen; Robert E Lasky; Jeremy J Lemoine; Michael A K Liebschner
Journal:  J Oral Maxillofac Surg       Date:  2007-02       Impact factor: 1.895

8.  Algorithm for planning a double-jaw orthognathic surgery using a computer-aided surgical simulation (CASS) protocol. Part 1: planning sequence.

Authors:  J J Xia; J Gateno; J F Teichgraeber; P Yuan; K-C Chen; J Li; X Zhang; Z Tang; D M Alfi
Journal:  Int J Oral Maxillofac Surg       Date:  2015-12       Impact factor: 2.789

9.  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

10.  Simulation of facial expressions using person-specific sEMG signals controlling a biomechanical face model.

Authors:  Merijn Eskes; Alfons J M Balm; Maarten J A van Alphen; Ludi E Smeele; Ian Stavness; Ferdinand van der Heijden
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-08-31       Impact factor: 2.924

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  1 in total

Review 1.  Virtual Surgical Planning: Modeling from the Present to the Future.

Authors:  G Dave Singh; Manarshhjot Singh
Journal:  J Clin Med       Date:  2021-11-30       Impact factor: 4.241

  1 in total

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