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

doi:10.7518/hxkq.2024.2023407

华西口腔医学杂志 ›› 2024, Vol. 42 ›› Issue (3): 334-339.doi: 10.7518/hxkq.2024.2023407

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()

^1.口腔疾病防治全国重点实验室国家口腔医学中心国家口腔疾病临床医学研究中心四川大学华西口腔医院正畸科，成都 610041
^2.成都市第七人民医院（成都医学院附属肿瘤医院）口腔科，成都 610213
^3.四川大学计算机学院，成都 610065

收稿日期:2023-11-28 修回日期:2024-03-18 出版日期:2024-06-01 发布日期:2024-05-24
通讯作者: 李宇 E-mail:793832326@qq.com;yuli@scu.edu.cn
作者简介:唐振兴，医师，硕士，E-mail：793832326@qq.com
基金资助:
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）

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.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)

摘要/Abstract

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。

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

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

中图分类号:

R783.5

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[J]. 华西口腔医学杂志, 2024, 42(3): 334-339.

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[J]. West China Journal of Stomatology, 2024, 42(3): 334-339.

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点对名称	第一次测量	第二次测量	差值	P值
合计	1.19±0.55	1.25±0.59	-0.059±0.318	0.187
UR1D	1.21±0.55	1.21±0.63	0.002±0.382	0.986
UD1L	1.18±0.50	1.34±0.51	-0.158±0.322	0.103
UR3C	1.30±0.68	1.30±0.68	-0.005±0.284	0.950
UL3C	1.09±0.51	1.16±0.57	-0.075±0.287	0.363

点对名称	组内相关系数	95%置信区间	F值	P值
合计	0.914	0.852~0.951	11.857	<0.001
UR1D	0.892	0.639~0.967	8.623	<0.001
UL1D	0.873	0.585~0.961	8.960	<0.001
UR3C	0.958	0.861~0.987	21.963	<0.001
UL3C	0.924	0.759~0.977	13.027	<0.001

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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

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

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