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- Title
自主最大笑容三维面像与数字化三维牙列模型 整合方法的建立及其准确性研究
- Authors
唐振兴; 钱语然; 任芮夢; 宋万忠; 李宇
- Abstract
Objective This study aims to establish an approach to integrate autonomous maximal smile (AMS) 3D facial image with digital 3D dental models to demonstrate the digital orthodontic set-up in the 3D facial context. Methods Using Geomagic Studio software, the AMS 3D facial image and pre-treatment dental model were manually and globally registered. Subsequently, the pretreatment dental model was substituted with the predicted post-treatment dental model. The intraoral region of the AMS 3D facial image was removed, achieving a conjunctive display of the AMS 3D facial image and the post-treatinent dental set-up. The distances between four groups of corresponding landmark pairs on the AMS 3D facial image and the pre-treatinent dental set-up were calculated, and the accuracy of the registration operation was evaluated by paired/-test. Results The novel approach effectively facilitated the integration of AMS 3D facial images with the pre-treatinent and predicted post-treatment 3D dental models. The average distances between the pairs of points were (1.19±0.55) mm and (1.55±0.59) mm for the two registrations, respectively. Notably, no statistically significant difference was observed between the two measurements (P>0.05), indicating a high agreement (intraclass correlation coefficient=0.914). Conclusion This study established an approach to integrate AMS 3D facial images with digital 3D dental models. Through this approach, the digital orthodontic set-up design can be displayed in the context of a 3D facial image, which may help to improve the quality of outcome set-up in digital orthodontics, such as clear aligner therapy.
- Publication
West China Journal of Stomatology, 2024, Vol 42, Issue 3, p334
- ISSN
1000-1182
- Publication type
Article
- DOI
10.7518/hxkq.2024.2023407