数字化面部扫描技术的发展与应用

doi:10.13591/j.cnki.kqyx.2025.06.014

Abstract

Abstract:

The wide application of digital scanning technology in the field of dentistry has made medicine more modern and convenient. It has become popular to obtain digital face models through facial scanning systems. In order to reproduce the perfect maxillofacial shape and proportion, accurate facial scanning equipment is indispensable. For all kinds of facial scanners on the market, their working principles and scanning characteristics are not the same. This article will summarize the development of digital facial scanning technology, introduce different technical principles and discuss the clinical application, and look into the application prospect of this technology in the medical field. The limitations of this technology are proposed, in order that the digital facial scanning technology can be better applied in clinical practice.

Key words: facial scanning, 3D stereophotogrammetry, stomatology

CLC Number:

R783.9

LUO Jingmei, TANG Wanrong, ZHENG Yanyan. Development and application of digital facial scanning technology[J]. Stomatology, 2025, 45(6): 470-474.

Figures/Tables 2

References 45

[1]	Amin SA, Hann S, Elsheikh AK, et al. A complete digital approach for facially generated full arch diagnostic wax up, guided surgery, and implant-supported interim prosthesis by integrating 3D facial scanning, intraoral scan and CBCT[J]. J Prosthodont, 2023, 32(1): 90-93.
[2]	Launonen AM, Vuollo V, Aarnivala H, et al. Craniofacial asymmetry from one to three years of age: A prospective cohort study with 3D imaging[J]. J Clin Med, 2019, 9(1): 70.
[3]	Franco de Sá Gomes C, Libdy MR, Normando D. Scan time, reliability and accuracy of craniofacial measurements using a 3D light scanner[J]. J Oral Biol Craniofac Res, 2019, 9(4): 331-335. doi: 10.1016/j.jobcr.2019.07.001 pmid: 31388482
[4]	Burke PH, Beard FH. Stereophotogrammetry of the face. A preliminary investigation into the accuracy of a simplified system evolved for contour mapping by photography[J]. Am J Orthod, 1967, 53(10): 769-782. pmid: 5233929
[5]	Unkovskiy A, Unkovskiy N, Spintzyk S. A virtual patient concept for esthetic and functional rehabilitation in a fully digital workflow[J]. Int J Comput Dent, 2021, 24(4): 405-417. pmid: 34931776
[6]	Anas IY, Bamgbose BO, Nuhu S. A comparison between 2D and 3D methods of quantifying facial morphology[J]. Heliyon, 2019, 5(6): e01880.
[7]	熊耀阳, 陈晓波, 孙健, 等. 结构光投影面部三维测量系统的精度研究[J]. 上海交通大学学报(医学版), 2010, 30(1):66-69.
[8]	White JD, Ortega-Castrillon A, Virgo C, et al. Sources of variation in the 3dMDface and Vectra H1 3D facial imaging systems[J]. Sci Rep, 2020, 10(1): 4443. doi: 10.1038/s41598-020-61333-3 pmid: 32157192
[9]	Sarver DM. Interactions of hard tissues, soft tissues, and growth over time, and their impact on orthodontic diagnosis and treatment planning[J]. Am J Orthod Dentofacial Orthop, 2015, 148(3): 380-386.
[10]	Guo Y, Liu J, Ruan Y, et al. A novel approach quantifying the periorbital morphology: A comparison of direct, 2-dimensional, and 3-dimensional technologies[J]. J Plast Reconstr Aesthet Surg, 2021, 74(8): 1888-1899. doi: 10.1016/j.bjps.2020.12.003 pmid: 33358464
[11]	Chong YM, Liu XY, Shi M, et al. Three-dimensional facial scanner in the hands of patients: Validation of a novel application on iPad/iPhone for three-dimensional imaging[J]. Ann Transl Med, 2021, 9(14): 1115. doi: 10.21037/atm-21-1620 pmid: 34430556
[12]	Liu SM, Srinivasan M, Mörzinger R, et al. Reliability of a three-dimensional facial camera for dental and medical applications: A pilot study[J]. J Prosthet Dent, 2019, 122(3): 282-287. doi: S0022-3913(18)31015-1 pmid: 30948294
[13]	Verzé L, Nasi A, Quaranta F, et al. Quantification of facial movements by surface laser scanning[J]. J Craniofac Surg, 2011, 22(1): 60-65. doi: 10.1097/SCS.0b013e3181f6c46d pmid: 21187777
[14]	Shamata A, Thompson T. Using structured light three-dimensional surface scanning on living individuals: Key considerations and best practice for forensic medicine[J]. J Forensic Leg Med, 2018, 55: 58-64. doi: S1752-928X(18)30033-7 pmid: 29471248
[15]	Chan B, Auyeung J, Rudan JF, et al. Intraoperative application of hand-held structured light scanning: A feasibility study[J]. Int J Comput Assist Radiol Surg, 2016, 11(6): 1101-1108. doi: 10.1007/s11548-016-1381-8 pmid: 27017498
[16]	Zhao YJ, Xiong YX, 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): e0169402.
[17]	D'Ettorre G, Farronato M, Candida E, et al. A comparison between stereophotogrammetry and smartphone structured light technology for three-dimensional face scanning[J]. Angle Orthod, 2022, 92(3): 358-363. doi: 10.2319/040921-290.1 pmid: 35015071
[18]	Hussein MO. Photogrammetry technology in implant dentistry: A systematic review[J]. J Prosthet Dent, 2023, 130(3): 318-326.
[19]	刘怡, 马俐丽, 陈斯, 等. 面部轮廓三维彩色成像系统精确度的研究[J]. 中华口腔医学杂志, 2007, 42(1):37-40.
[20]	彭菊香, 江久汇, 赵一姣, 等. 结构光扫描对骨性Ⅲ类错牙合正畸正颌联合治疗前后软组织三维变化的初步评价[J]. 北京大学学报(医学版), 2015, 47(1):98-103.
[21]	Camison L, Bykowski M, Lee WW, et al. Validation of the Vectra H1 portable three-dimensional photogrammetry system for facial imaging[J]. Int J Oral Maxillofac Surg, 2018, 47(3): 403-410.
[22]	Ayoub A, Garrahy A, Hood C, et al. Validation of a vision-based, three-dimensional facial imaging system[J]. Cleft Palate Craniofac J, 2003, 40(5): 523-529.
[23]	Khambay B, Nairn N, Bell A, et al. Validation and reproducibility of a high-resolution three-dimensional facial imaging system[J]. Br J Oral Maxillofac Surg, 2008, 46(1): 27-32. doi: 10.1016/j.bjoms.2007.04.017 pmid: 17561318
[24]	Littlefield TR, Cherney JC, Luisi JN, et al. Comparison of plaster casting with three-dimensional cranial imaging[J]. Cleft Palate Craniofac J, 2005, 42(2): 157-164.
[25]	Mai HN, Kim J, Choi YH, et al. Accuracy of portable face-scanning devices for obtaining three-dimensional face models: A systematic review and meta-analysis[J]. Int J Environ Res Public Health, 2020, 18(1): 94.
[26]	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.
[27]	Koban KC, Perko P, Etzel L, et al. Validation of two handheld devices against a non-portable three-dimensional surface scanner and assessment of potential use for intraoperative facial imaging[J]. J PlastReconstrAesthet Surg, 2020, 73(1): 141-148.
[28]	Ranabhatt R, Singh K, Siddharth R, et al. Color matching in facial prosthetics: A systematic review[J]. J Indian Prosthodont Soc, 2017, 17(1): 3-7.
[29]	Revilla-León M, Zandinejad A, Nair MK, et al. Accuracy of a patient 3-dimensional virtual representation obtained from the superimposition of facial and intraoral scans guided by extraoral and intraoral scan body systems[J]. JProsthet Dent, 2022, 128(5): 984-993.
[30]	Othman SA, Saffai L, Wan Hassan WN. Validity and reproducibility of the 3D VECTRA photogrammetric surface imaging system for the maxillofacial anthropometric measurement on cleft patients[J]. Clin Oral Investig, 2020, 24(8): 2853-2866.
[31]	Persing S, Timberlake A, Madari S, et al. Three-dimensional imaging in rhinoplasty: A comparison of the simulated versus actual result[J]. Aesthetic Plast Surg, 2018, 42(5): 1331-1335. doi: 10.1007/s00266-018-1151-9 pmid: 29789868
[32]	Katase H, Kanazawa M, Inokoshi M, et al. Face simulation system for complete dentures by applying rapid prototyping[J]. JProsthet Dent, 2013, 109(6): 353-360.
[33]	Hassan B, Greven M, Wismeijer D. Integrating 3D facial scanning in a digital workflow to CAD/CAM design and fabricate complete dentures for immediate total mouth rehabilitation[J]. J Adv Prosthodont, 2017, 9(5): 381-386. doi: 10.4047/jap.2017.9.5.381 pmid: 29142646
[34]	Russo LL, 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. doi: S0022-3913(19)30403-2 pmid: 31326147
[35]	Park JM, Oh KC, Shim JS. Integration of intraoral digital scans with a 3D facial scan for anterior tooth rehabilitation[J]. JProsthet Dent, 2019, 121(3): 394-397.
[36]	Mangano F, Mangano C, Margiani B, et al. Combining intraoral and face scans for the design and fabrication of computer-assisted design/computer-assisted manufacturing (CAD/CAM) polyether-ether-ketone (PEEK) implant-supported bars for maxillary overdentures[J]. Scanning, 2019, 2019: 4274715.
[37]	Yuan FS, Cheng C, Dai N, et al. Prediction of aesthetic reconstruction effects in edentulous patients[J]. Sci Rep, 2017, 7(1): 18077.
[38]	Hernández EL, Alvarez A, Abou-Ayash S, et al. Effect of complete dentures on facial soft tissue volume: A 3D comparative study[J]. Int J Prosthodont, 2022, 35(2): 208-218.
[39]	Paredes de Sousa Gil A, Guijarro-Martínez R, Haas OL Jr, et al. Three-dimensional analysis of nasolabial soft tissue changes after Le Fort I osteotomy: A systematic review of the literature[J]. Int J Oral Maxillofac Surg, 2019, 48(9): 1185-1200.
[40]	Almukhtar A, Khambay B, Ju X, et al. Comprehensive analysis of soft tissue changes in response to orthognathic surgery: Mandibular versus bimaxillary advancement[J]. Int J Oral Maxillofac Surg, 2018, 47(6): 732-737.
[41]	Sigaux N, Mojallal A, Breton P, et al. Mandibular advancement means lower facial enlargement: A 2-dimensional and 3-dimensional analysis[J]. J Oral Maxillofac Surg, 2018, 76(12): 2646.e1-2642646.e8.
[42]	Coachman C, Georg R, Bohner L, et al. Chairside 3D digital design and trial restoration workflow[J]. J Prosthet Dent, 2020, 124(5): 514-520. doi: 10.1016/j.prosdent.2019.10.015 pmid: 31924341
[43]	Revilla-León M, Ashby MT, Meyer MJ, et al. Self-perception and self-representation preference between 2-dimensional and 3-dimensional facial reconstructions among dentists, dental students, and laypersons[J]. J Prosthet Dent, 2022, 127(6): 911-917.
[44]	Raffone C, Gianfreda F, Pompeo MG, et al. Chairside virtual patient protocol. Part 2: Management of multiple face scans and alignment predictability[J]. J Dent, 2022, 122: 104123.
[45]	Thomas PA, Krishnamoorthi D, Mohan J, et al. Digital smile design[J]. J Pharm Bioallied Sci, 2022, 14(Suppl 1): S43-S49.

面部扫描技术	工作原理	优点	缺点	代表性产品
激光三角测量	激光的反射和散射原理	准确度高	耗时长、设备贵	3Shape R700扫描仪、NextEngine三维扫描仪
结构光测量	单相机和投影条纹斑点编码	速度快、精度高、更灵敏	适应证窄(对环境光和金属表面敏感、部分产品需喷粉)舒适度差、需要多次捕获	FaceScan三维扫描仪、EinScan Pro三维扫描仪
立体摄影测量	被动式光学三维扫描或主动投射非结构光	简便快捷、细节再现力强、精度高	设备占地面积大、操作敏感性高	3dMD Face System三维面部扫描仪、Di3D系统

Development and application of digital facial scanning technology

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[13]	. Analysis of HIV infection status of patients with oral diseases and WB pattern of HIV positives patients [J]. , 2021, 41(3): 247-251.
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