5种椅旁三维颜面扫描技术正确度的初步评价

温奥楠; 刘微; 柳大为; 朱玉佳; 萧宁; 王勇; 赵一姣

doi:10.19723/j.issn.1671-167X.2023.02.021

北京大学学报（医学版） >

2023 , Vol. 55 >Issue 2: 343 - 350

DOI: https://doi.org/10.19723/j.issn.1671-167X.2023.02.021

技术方法

5种椅旁三维颜面扫描技术正确度的初步评价

温奥楠 ,
刘微 ,
柳大为 ,
朱玉佳 ,
萧宁 ,
王勇 ,
赵一姣

展开

1. 北京大学医学部医学技术研究院, 北京 100191
2. 北京大学口腔医学院·口腔医院数字化研究中心, 国家口腔医学中心, 国家口腔疾病临床医学研究中心, 口腔生物材料和数字诊疗装备国家工程研究中心, 口腔数字医学北京市重点实验室, 国家卫生健康委员会口腔医学计算机应用工程技术研究中心, 国家药品监督管理局口腔材料重点实验室, 北京 100081
3. 银川市口腔医院, 银川 750004
4. 北京大学口腔医学院·口腔医院正畸科, 北京 100081

收稿日期: 2021-07-15

网络出版日期: 2023-04-12

收起

Preliminary evaluation of the trueness of 5 chairside 3D facial scanning techniques

Ao-nan WEN ,
Wei LIU ,
Da-wei LIU ,
Yu-jia ZHU ,
Ning XIAO ,
Yong WANG ,
Yi-jiao ZHAO

Expand

1. Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
2. Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
3. Yinchuan Stomatology Hospital, Yinchuan 750004, China
4. Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China

Received date: 2021-07-15

Online published: 2023-04-12

Fold

摘要

目的: 量化评价5种椅旁三维颜面扫描技术的正确度，为口腔临床诊疗应用提供参考。方法: 使用传统专业型三维颜面扫描仪Face Scan采集受试者三维颜面数据，作为本研究的参考数据。分别使用4种便携式三维颜面扫描仪(Space Spider、LEO、EVA和DS-FScan)及iPhone Ⅹ手机(Bellus3D颜面扫描APP)，采集受试者三维颜面数据。在Geomagic Studio 2013中通过数据配准、偏差分析等功能计算上述5种椅旁三维颜面扫描技术的整体三维偏差和面部分区三维偏差，评价其正确度的表现。扫描过程中同时记录扫描时间，并对受试者舒适度采用视觉模拟评分法(visual analogue scale，VAS)进行评分，评价5种三维颜面扫描技术的扫描效率和患者接受度。结果: 测试数据与参考数据间平均整体和平均分区三维偏差最小者均为DS-FScan(分别为0.334 mm和0.329 mm)，最大者均为iPhone Ⅹ手机(分别为0.483 mm和0.497 mm)。Space Spider获取的三维颜面数据的细节特征表现力最好。扫描效率最高和受试者接受度最高者均为iPhone Ⅹ手机，平均扫描时间为14 s，受试者扫描舒适度的VAS评分为9分。结论: 5种椅旁三维颜面扫描技术中，4种便携式设备的扫描数据正确度没有显著差异，均优于iPhone Ⅹ手机的扫描数据，iPhone Ⅹ扫描技术的受试者体验最好。

关键词： 面部; 三维成像; 计算机辅助图像处理

本文引用格式

温奥楠 , 刘微 , 柳大为 , 朱玉佳 , 萧宁 , 王勇 , 赵一姣 . 5种椅旁三维颜面扫描技术正确度的初步评价[J]. 北京大学学报（医学版）, 2023 , 55(2) : 343 -350 . DOI: 10.19723/j.issn.1671-167X.2023.02.021

Abstract

Objective: To quantitatively evaluate the trueness of five chairside three-dimensional facial scanning techniques, and to provide reference for the application of oral clinical diagnosis and treatment. Methods: The three-dimensional facial data of the subjects were collected by the traditional professional three-dimensional facial scanner Face Scan, which was used as the reference data of this study. Four kinds of portable three-dimensional facial scanners (including Space Spider, LEO, EVA and DS-FScan) and iPhone Ⅹ mobile phone (Bellus3D facial scanning APP) were used to collect three-dimensional facial data from the subjects. In Geomagic Studio 2013 software, through data registration, deviation analysis and other functions, the overall three-dimensional deviation and facial partition three-dimensional deviation of the above five chairside three-dimensional facial scanning technologies were calculated, and their trueness performance evaluated. Scanning time was recorded during the scanning process, and the subject's comfort was scored by visual analogue scale(VAS). The scanning efficiency and patient acceptance of the five three-dimensional facial scanning techniques were evaluated. Results: DS-FScan had the smallest mean overall and mean partition three-dimensional deviation between the test data and the reference data, which were 0.334 mm and 0.329 mm, respectively. The iPhone Ⅹ mobile phone had the largest mean overall and mean partition three-dimensional deviation between the test data and the reference data, which were 0.483 mm and 0.497 mm, respectively. The detailed features of the three-dimensional facial data obtained by Space Spider were the best. The iPhone Ⅹ mobile phone had the highest scanning efficiency and the highest acceptance by the subject. The average scanning time of the iPhone Ⅹ mobile phone was 14 s, and the VAS score of the subjects' scanning comfort was 9 points. Conclusion: Among the five chairside three-dimensional face scanning technologies, the trueness of the scan data of the four portable devices had no significant difference, and they were all better than the iPhone Ⅹ mobile phone scan. The subject with the iPhone Ⅹ scanning technology had the best expe-rience.

Key words： Face; Three-dimensional imaging; Computer-assisted image processing

参考文献

1	Fink M , Hirschfelder U , Hirschinger V , et al. Assessment of facial soft-tissue profiles based on lateral photographs versus three-dimensional face scans[J]. J Orofac Orthop, 2017, 78 (1): 70- 76.
2	Topsakal O , Akbas MI , Smith BS , et al. Evaluating the agreement and reliability of a web-based facial analysis tool for rhinoplasty[J]. Int J Comput Assist Radiol Surg, 2021, 16 (8): 1381- 1391.
3	Anas IY , Bamgbose BO , Nuhu S . A comparison between 2D and 3D methods of quantifying facial morphology[J]. Heliyon, 2019, 5 (6): e1880.
4	Stebel A , Desmedt D , Bronkhorst E , et al. Rating nasolabial appearance on three-dimensional images in cleft lip and palate: A comparison with standard photographs[J]. Eur J Orthod, 2016, 38 (2): 197- 201.
5	Krneta B , Primo IJ , Zhurov A , et al. Three-dimensional evaluation of facial morphology in children aged 5-6 years with a class Ⅲ malocclusion[J]. Eur J Orthod, 2014, 36 (2): 133- 139.
6	Bockey S , Berssenbrügge P , Dirksen D , et al. Computer-aided design of facial prostheses by means of 3D-data acquisition and following symmetry analysis[J]. J Craniomaxillofac Surg, 2018, 46 (8): 1320- 1328.
7	Farook TH , Jamayet NB , Abdullah JY , et al. Designing 3D prosthetic templates for maxillofacial defect rehabilitation: A comparative analysis of different virtual workflows[J]. Comput Biol Med, 2020, 118, 103646.
8	Duppe K , Becker M , Schonmeyr B . Evaluation of facial anthropometry using three-dimensional photogrammetry and direct mea-suring techniques[J]. J Craniofac Surg, 2018, 29 (5): 1245- 1251.
9	van der Meer WJ , Dijkstra PU , Visser A , et al. Reliability and validity of measurements of facial swelling with a stereophotogrammetry optical three-dimensional scanner[J]. Br J Oral Maxillofac Surg, 2014, 52 (10): 922- 927.
10	Andrade LM , Rodrigues da Silva AMB , Magri LV , et al. Repeatability study of angular and linear measurements on facial morpho-logy analysis by means of stereophotogrammetry[J]. J Craniofac Surg, 2017, 28 (4): 1107- 1111.
11	Zhao Y , Xiong Y , Wang Y . Three-dimensional accuracy of facial scan for facial deformities in clinics: A new evaluation method for facial scanner accuracy[J]. PLoS One, 2017, 12 (1): e169402.
12	Gaber A, Faher MF, Waned MA. Automated grading of facial paralysis using the Kinect v2: A proof of concept study: International Conference on Virtual Rehabilitation (ICVR)[C]. Valencia, Spain: IEEE, 2015: 258-264.
13	Sidequersky FV , Verze L , Mapelli A , et al. Quantification of facial movements by optical instruments: Surface laser scanning and optoelectronic three-dimensional motion analyzer[J]. J Craniofac Surg, 2014, 25 (1): e65- e70.
14	Gaber A , Taher MF , Wahed MA . Quantifying facial paralysis using the Kinect v2[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2015, 2015, 2497- 2501.
15	Knoops PG , Beaumont CA , Borghi A , et al. Comparison of three-dimensional scanner systems for craniomaxillofacial imaging[J]. J Plast Reconstr Aesthet Surg, 2017, 70 (4): 441- 449.
16	Modabber A , Peters F , Kniha K , et al. Evaluation of the accuracy of a mobile and a stationary system for three-dimensional facial scanning[J]. J Craniomaxillofac Surg, 2016, 44 (10): 1719- 1724.
17	Ahn H , Chang Y , Kim K , et al. Measurement of three-dimensional perioral soft tissue changes in dentoalveolar protrusion patients after orthodontic treatment using a structured light scanner[J]. Angle Orthod, 2014, 84 (5): 795- 802.
18	Dindaro?lu F , Kutlu P , Duran GS , et al. Accuracy and reliability of 3D stereophotogrammetry: A comparison to direct anthropometry and 2D photogrammetry[J]. Angle Orthod, 2016, 86 (3): 487- 494.
19	熊玉雪, 杨慧芳, 赵一姣, 等. 两种评价面部三维表面数据不对称度方法的比较[J]. 北京大学学报(医学版), 2015, 47 (2): 340- 343.
20	Zeng W , Chen G , Ju R , et al. The combined application of database and three-dimensional image registration technology in the restoration of total nose defect[J]. J Craniofac Surg, 2018, 29 (5): e484- e487.
21	赵一姣, 熊玉雪, 杨慧芳, 等. 2种三维颜面部扫描仪测量精度的定量评价[J]. 实用口腔医学杂志, 2016, 32 (1): 37- 42.
22	Artopoulos A , Buytaert JA , Dirckx JJ , et al. Comparison of the accuracy of digital stereophotogrammetry and projection moiré profilometry for three-dimensional imaging of the face[J]. Int J Oral Maxillofac Surg, 2014, 43 (5): 654- 662.
23	Winder RJ , Darvann TA , McKnight W , et al. Technical validation of the Di3D stereophotogrammetry surface imaging system[J]. Br J Oral Maxillofac Surg, 2008, 46 (1): 33- 37.
24	Lo Russo L , Di Gioia C , Salamini A , et al. Integrating intraoral, perioral, and facial scans into the design of digital dentures[J]. J Prosthet Dent, 2020, 123 (4): 584- 588.
25	Swennen G , Pottel L , Haers PE . Custom-made 3D-printed face masks in case of pandemic crisis situations with a lack of commercially available FFP2/3 masks[J]. Int J Oral Maxillofac Surg, 2020, 49 (5): 673- 677.
26	Mai H , Lee D . The effect of perioral scan and artificial skin markers on the accuracy of virtual dentofacial integration: stereophotogrammetry versus smartphone three-dimensional face-scanning[J]. Int J Environ Res Public Health, 2021, 18 (1): 229.
27	Duran GS , Dindaroglu F , Kutlu P . Hard- and soft-tissue symmetry comparison in patients with Class Ⅲ malocclusion[J]. Am J Orthod Dentofacial Orthop, 2019, 155 (4): 509- 522.
28	史雨林, 商洪涛, 田磊, 等. 骨性Ⅲ类错畸形患者双颌手术前后面部软组织变化的三维研究[J]. 中国修复重建外科杂志, 2018, 32 (5): 612- 616.
29	刘文静, 史雨林, 许方方, 等. 偏突颌畸形患者手术前后面部软组织的三维测量研究[J]. 现代生物医学进展, 2018, 18 (14): 2669- 2673.
30	Yamamoto S , Miyachi H , Fujii H , et al. Intuitive facial imaging method for evaluation of postoperative swelling: A combination of 3-dimensional computed tomography and laser surface scanning in orthognathic surgery[J]. J Oral Maxillofac Surg, 2016, 74 (12): 2501- 2506.
31	?zsoy U , Uysal H , Hizay A , et al. Three-dimensional objective evaluation of facial palsy and follow-up of recovery with a handheld scanner[J]. J Plast Reconstr Aesthet Surg, 2021, 74 (12): 3404- 3414.
32	王勇, 赵一姣, 司燕. 与三维测量有关的名词浅析[J]. 中华口腔正畸学杂志, 2009, 16 (2): 111- 113.
33	陈俊锴, 孙玉春, 陈虎, 等. 口内三维扫描仪扫描精度的定量评价方法研究[J]. 中华口腔医学杂志, 2021, 56 (9): 920- 925.
34	曹悦, 陈俊锴, 邓珂慧, 等. 三款口内三维扫描仪获取无牙颌红膏初印模精度的对比评价[J]. 北京大学学报(医学版), 2020, 52 (1): 129- 137.
35	Rudy HL , Wake N , Yee J , et al. Three-dimensional facial scanning at the fingertips of patients and surgeons: accuracy and precision testing of iphone Ⅹ three-dimensional scanner[J]. Plast Reconstr Surg, 2020, 146 (6): 1407- 1417.
36	赵一姣, 熊玉雪, 杨慧芳, 等. 3种不同原理颜面部扫描仪测量精度的评价[J]. 北京大学学报(医学版), 2014, 46 (1): 76- 80.
37	Amornvit P , Sanohkan S . The accuracy of digital face scans obtained from 3d scanners: An in vitro study[J]. Int J Environ Res Public Health, 2019, 16 (24): 5061.
38	Petrides G , Clark JR , Low H , et al. Three-dimensional scanners for soft-tissue facial assessment in clinical practice[J]. J Plast Reconstr Aesthet Surg, 2021, 74 (3): 605- 614.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献