论文信息 - Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery

Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery

It is clinically important to accurately predict facial soft tissue changes prior to orthognathic surgery. However, the current simulation methods are problematic, especially in clinically critical regions. We developed a two-stage finite element method (FEM) simulation model with realistic tissue sliding effects. In the 1st stage, the facial soft-tissue-change following bone movement was simulated using FEM with a simple sliding effect. In the 2nd stage, the tissue sliding effect was improved by reassigning the bone-soft tissue mapping and boundary condition. Our method has been quantitatively and qualitatively evaluated using 30 patient datasets. The two-stage FEM simulation method 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.

[1] Paul Suetens,et al. Parameter Optimisation of a Linear Tetrahedral Mass Tensor Model for a Maxillofacial Soft Tissue Simulator , 2006, ISBMS.

[2] Lutz-Peter Nolte,et al. Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model , 2010, MICCAI.

[3] Xiaobo Zhou,et al. Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations , 2012, MICCAI.

[4] Peng Yuan,et al. An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation , 2015, Annals of Biomedical Engineering.