ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2019
A New Approach of Predicting Facial Changes following Orthognathic Surgery using Realistic Lip Sliding Effect.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- 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
- Traditional and Artificial Intelligent Methods in Predicting Maxillofacial Soft Tissue Morphology After Orthognathic Surgery: A Narrative Review.International journal of dentistry · 2025Review
- Application of Artificial Intelligence in Orthognathic Surgery: A Scoping Review.BioMed research international · 2025Article
- Predicting optimal patient-specific postoperative facial landmarks for patients with craniomaxillofacial deformities.International journal of oral and maxillofacial surgery · 2024Article
- The Accuracy of Three-Dimensional Soft Tissue Simulation in Orthognathic Surgery-A Systematic Review.Journal of imaging · 2024Review
- Accuracy of Artificial Intelligence in Predicting Facial Changes Post-Orthognathic Surgery: A Comprehensive Scoping Review.Journal of clinical and experimental dentistry · 2024Article
- Predicting Optimal Patient-Specific Postoperative Facial Landmarks for Patients with Craniomaxillofacial Deformities.medRxiv : the preprint server for health sciences · 2023Article
- Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.IEEE transactions on medical imaging · 2023Article
- Soft tissue prediction in orthognathic surgery: Improving accuracy by means of anatomical details.PloS one · 2023Article
- Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.Medical image analysis · 2023Article
- 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
- Soft-Tissue Simulation for Computational Planning of Orthognathic Surgery.Journal of personalized medicine · 2021Article
- A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.Medical image analysis · 2021Article
- Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Accurate prediction of facial soft-tissue changes following orthognathic surgery is crucial for improving surgical outcome. However, the accuracy of current prediction methods still requires further improvement in clinically critical regions, especially the lips. We develop a novel incremental simulation approach using finite element method (FEM) with realistic lip sliding effect to improve the prediction accuracy in the area around the lips. First, lip-detailed patient-specific FE mesh is generated based on accurately digitized lip surface landmarks. Second, an improved facial soft-tissue change simulation method is developed by applying a lip sliding effect in addition to the mucosa sliding effect. The soft-tissue change is then simulated incrementally to facilitate a natural transition of the facial change and improve the effectiveness of the sliding effects. A preliminary evaluation of prediction accuracy was conducted using retrospective clinical data. The results showed that there was a significant prediction accuracy improvement in the lip region when the realistic lip sliding effect was applied along with the mucosa sliding effect.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.