DIGITRACK. Inc., Daegu, Republic of Korea.
Department of Robotics and Mechatronics Engineering, DGIST, 333 Techno Jungang-Daero, Daegu, 42988, Republic of Korea.
J Imaging Inform Med. 2024 Jun;37(3):1151-1159. doi: 10.1007/s10278-024-01014-z. Epub 2024 Feb 8.
Previous research on computer-assisted jawbone reduction for mandibular fracture surgery has only focused on the relationship between fractured sections disregarding proper dental occlusion with the maxilla. To overcome malocclusion caused by overlooking dental articulation, this study aims to provide a model for jawbone reduction based on dental occlusion. After dental landmarks and fracture sectional features are extracted, the maxilla and two mandible segments are aligned first using the extracted dental landmarks. A swarm-based optimization is subsequently performed by simultaneously observing the fracture section fitting and the dental occlusion condition. The proposed method was evaluated using jawbone data of 12 subjects with simulated and real mandibular fractures. Results showed that the optimized model achieved both accurate jawbone reduction and desired dental occlusion, which may not be possible by existing methods.
先前的计算机辅助下颌骨复位在用于下颌骨骨折手术时,仅关注骨折部分,而忽略了与上颌骨的正常牙咬合关系。为了克服因忽视牙齿咬合而导致的咬合不正,本研究旨在提供一种基于牙咬合的下颌骨复位模型。在提取牙齿标志点和骨折剖面特征后,首先使用提取的牙齿标志点对齐上颌骨和两个下颌骨段。然后通过同时观察骨折剖面拟合和牙齿咬合情况,执行基于群集的优化。使用具有模拟和真实下颌骨骨折的 12 个对象的颌骨数据评估了所提出的方法。结果表明,所优化的模型实现了精确的下颌骨复位和所需的牙咬合,这是现有方法可能无法实现的。