ArticleMedical image analysis2021
A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.
Article in Medical image analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Artificial Intelligence and Digital Technologies in Orthognathic and Reconstructive Maxillofacial Surgery: Data Availability and Evidence Maturity.Dentistry journal · 2026Review
- State-of-the-art 3D analysis of soft tissue prediction for orthognathic correction of dentofacial deformities in the Egyptian population.BMC oral health · 2026Article
- A Clinically Compatible Method for Generating Preoperative Finite Element Models to Simulate Facial Appearance and Movements in Orthognathic Surgery.International journal for numerical methods in biomedical engineering · 2026Article
- AI-assisted mesh generation for subject-specific modeling of facial soft tissues.International journal of computer assisted radiology and surgery · 2025Article
- Learning soft tissue deformation from incremental simulations.Medical physics · 2025Article
- Application of Artificial Intelligence in Orthognathic Surgery: A Scoping Review.BioMed research international · 2025Article
- Advances of surgical robotics: image-guided classification and application.National science review · 2024Review
- The Accuracy of Three-Dimensional Soft Tissue Simulation in Orthognathic Surgery-A Systematic Review.Journal of imaging · 2024Review
- Correspondence attention for facial appearance simulation.Medical image analysis · 2024Article
- A Quantitative and Qualitative Clinical Validation of Soft Tissue Simulation for Orthognathic Surgery Planning.Journal of personalized medicine · 2022Article
- Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.International journal of computer assisted radiology and surgery · 2022Article
- Virtual Surgical Planning: Modeling from the Present to the Future.Journal of clinical medicine · 2021Review
Corrections and comments
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Authors and funding
10 authors.
Funding
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.
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Registered trials
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