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

唐振兴, 钱语然, 任芮葶, 宋万忠, 李宇

PDF(2432 KB)
PDF(2432 KB)
华西口腔医学杂志 ›› 2024, Vol. 42 ›› Issue (3) : 334-339. DOI: 10.7518/hxkq.2024.2023407
临床研究

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

  • 唐振兴1,2(), 钱语然1, 任芮葶1, 宋万忠3, 李宇1()
作者信息 +

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()
Author information +
History +

摘要

目的 拟建立一种将自主最大笑容(AMS)三维面像与数字化三维牙列模型整合的方法,以实现在三维面像背景下显示数字化正畸终末位设计的目的。 方法 利用Geomagic Studio软件,通过手动注册和全局注册功能,将AMS三维面像和初始牙列模型进行配准对齐,然后用终末位牙列模型在原位替换初始牙列模型,并去除AMS三维面像口内区域,从而实现AMS三维面像和终末位牙列模型的融合显示。计算AMS三维面像和初始牙列模型上4组对应标志点对间的距离,通过配对t检验评估配准操作的准确性。 结果 该方法成功实现了AMS三维面像与初始、终末三维牙列模型的整合。两次配准对齐后,点对间的平均距离分别为(1.19±0.55)mm和(1.55±0.59)mm。两次测量结果的差异无统计学意义(P>0.05),且具有很高的一致性(组内相关性系数=0.914)。 结论 本研究建立了AMS三维面像与数字化初始、终末三维牙列模型整合的方法。该方法具有较高的准确性,有助于实现在三维面像背景下数字化正畸终末位设计效果的显示,从而提升以隐形正畸为代表的数字化正畸终末位设计的质量。

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.

关键词

数字化正畸 / 排牙 / 三维面像 / 三维牙列模型 / 隐形正畸 / 自主最大笑容

Key words

digital orthodontics / dental set-up / 3D facial image / 3D dental model / clear aligner therapy / autonomous maximal smile

中图分类号

R783.5

引用本文

导出引用
唐振兴, 钱语然, 任芮葶, 宋万忠, 李宇. 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. 华西口腔医学杂志. 2024, 42(3): 334-339 https://doi.org/10.7518/hxkq.2024.2023407
Tang Zhenxing, Qian Yuran, Ren Ruiting, Song Wanzhong, Li Yu. Integration of autonomous maximal smile 3D image with digital 3D dental model and investigation of its accuracy. West China Journal of Stomatology. 2024, 42(3): 334-339 https://doi.org/10.7518/hxkq.2024.2023407

参考文献

1 Jain P, Gupta M. Digitization in dentistry: clinical app-lications[M]. Cham: Springer International Publishing, 2021: 189-221.
2 Fiori A, Minervini G, Nucci L, et al. Predictability of crowding resolution in clear aligner treatment[J]. Prog Orthod, 2022, 23(1): 43.
3 Tang Z, Chen W, Mei L, et al. Relative anchorage loss under reciprocal anchorage in mandibular premolar extraction cases treated with clear aligners[J]. Angle Orthod, 2023, 93(4): 375-381.
4 Gao J, Wang X, Qin Z, et al. Profiles of facial soft tissue changes during and after orthodontic treatment in female adults[J]. BMC Oral Health, 2022, 22(1): 257.
5 Nanda RS, Ghosh J. Facial soft tissue harmony and growth in orthodontic treatment[J]. Semin Orthod, 1995, 1(2): 67-81.
6 Sarver DM, Ackerman MB. Dynamic smile visualization and quantification: part 2. Smile analysis and treatment strategies[J]. Am J Orthod Dentofacial Orthop, 2003, 124(2): 116-127.
7 Dong JK, Jin TH, Cho HW, et al. The esthetics of the smile: a review of some recent studies[J]. Int J Prosthodont, 1999, 12(1): 9-19.
8 曹礼, 杨琳, 白丁. 正面微笑的美学研究[J]. 国际口腔医学杂志, 2009, 36(4): 496-498.
8 Cao L, Yang L, Bai D. Research of frontal smile esthe-tics in dental clinic[J]. Int J Stomatol, 2009, 36(4): 496-498.
9 谢乙加, 邹训明, 徐晓梅, 等. 颊间隙美学的研究进展[J]. 国际口腔医学杂志, 2018, 45(1): 106-111.
9 Xie YJ, Zou XM, Xu XM, et al. Research progress on esthetics of buccal corridor[J]. Int J Stomatol, 2018, 45(1): 106-111.
10 Wang S, Lin H, Yang Y, et al. Use of autonomous maximal smile to evaluate dental and gingival exposure[J]. Korean J Orthod, 2018, 48(3): 182-188.
11 van der Geld PA, Oosterveld P, van Waas MA, et al. Di-gital videographic measurement of tooth display and lip position in smiling and speech: reliability and clinical application[J]. Am J Orthod Dentofacial Orthop, 2007, 131(3): 301.e1-301.e8.
12 Tarantili VV, Halazonetis DJ, Spyropoulos MN. The spontaneous smile in dynamic motion[J]. Am J Orthod Dentofacial Orthop, 2005, 128(1): 8-15.
13 Zitová B, Flusser J. Image registration methods: a survey[J]. Image Vis Comput, 2003, 21(11): 977-1000.
14 Codari M, Pucciarelli V, Tommasi DG, et al. Validation of a technique for integration of a digital dental model into stereophotogrammetric images of the face using cone-beam computed tomographic data[J]. Br J Oral Ma-xillofac Surg, 2016, 54(5): 584-586.
15 刘露露, 林阳阳. 数字化正颌外科中相关配准问题的研究进展[J]. 中华整形外科杂志, 2020, 36(3): 341-345.
15 Liu LL, Lin YY. Advances in research on registration related problems in digital orthognathic surgery[J]. Chin J Plast Surg, 2020, 36(3): 341-345.
16 Shen F, Liu J, Li H, et al. OrthoGAN: high-precision image generation for teeth orthodontic visualization[J]. arXiv, 2022, doi: 10.48550/arXiv.2212.14162 .
17 苏晓霞, 周力, 廖立, 等. 动态微笑美学模拟教学法在口腔正畸教学中的应用评价[J]. 上海口腔医学, 2023, 32(2): 220-224.
17 Su XX, Zhou L, Liao L, et al. Application of digital dynamic smile aesthetic simulation teaching method in or-thodontic practicum[J]. Shanghai J Stomatol, 2023, 32(2): 220-224.

基金

四川省重大科技专项项目(2022ZDZX0031);四川大学华西口腔医院探索与研发项目(交叉学科创新项目RD-03-20-2003)

评论

PDF(2432 KB)

Accesses

Citation

Detail

段落导航
相关文章

/