West China Journal of Stomatology ›› 2024, Vol. 42 ›› Issue (3): 334-339.doi: 10.7518/hxkq.2024.2023407

• Clinical Research • Previous Articles     Next Articles

Integration of autonomous maximal smile 3D image with digital 3D dental model and investigation of its accuracy

Tang Zhenxing1,2(), Qian Yuran1, Ren Ruiting1, Song Wanzhong3, Li Yu1()   

  1. 1.State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
    2.Dept. of Stomatology, Chengdu Seventh People’s Hospital (Affiliated Cancer Hospital of Chengdu Medical College), Chengdu 610213, China
    3.College of Computer Science, Sichuan University, Chengdu 610065, China
  • Received:2023-11-28 Revised:2024-03-18 Online:2024-06-01 Published:2024-05-24
  • Contact: Li Yu E-mail:793832326@qq.com;yuli@scu.edu.cn
  • Supported by:
    Major Special Science and Technology Project of Sichuan Province(2022ZDZX0031);Exploration and R&D Project of West China Hospital of Stomatology, Sichuan University (Interdisciplinary Innovation Project, RD-03-202003)

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 pre-treatment 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-treatment dental set-up. The distances between four groups of corresponding landmark pairs on the AMS 3D facial image and the pre-treatment dental set-up were calculated, and the accuracy of the registration operation was evaluated by paired t-test. Results The novel approach effectively facilitated the integration of AMS 3D facial images with the pre-treatment 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.

Key words: digital orthodontics, dental set-up, 3D facial image, 3D dental model, clear aligner therapy, autonomous maximal smile

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