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北京大学学报（医学版） ›› 2025, Vol. 57 ›› Issue (2): 354-359. doi: 10.19723/j.issn.1671-167X.2025.02.021

• 论著 • 上一篇    下一篇

基于CBCT图像构建牙颌面虚拟患者的两种配准方法比较

叶嘉慧1, 王时敏2, 王子轩2, 刘云松1, 孙玉春3, 叶红强1,*(), 周永胜1,*()   

  1. 1. 北京大学口腔医学院·口腔医院修复科，北京 100081
    2. 北京大学口腔医学院·口腔医院义齿加工中心，北京 100081
    3. 北京大学口腔医学院·口腔医院口腔医学数字化中心，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
  • 收稿日期:2021-10-11 出版日期:2025-04-18 发布日期:2025-04-12
  • 通讯作者: 叶红强,周永胜 E-mail:yehongqiang@hsc.pku.edu.cn;kqzhouysh@hsc.pku.edu.cn
  • 基金资助:
    国家自然科学基金(81801015);北京大学口腔医院新技术新疗法项目(PKUSSNCT-20B07);国家重大疾病多学科合作诊疗能力建设项目(PKUSSNMP-201901);国家临床重点专科建设项目(PKUSSNKP-202117)

Comparison of two registration methods for constructing virtual craniodentofacial patients based on cone beam computed tomography images

Jiahui YE1, Shimin WANG2, Zixuan WANG2, Yunsong LIU1, Yuchun SUN3, Hongqiang YE1,*(), Yongsheng ZHOU1,*()   

  1. 1. Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China
    2. Center of Dental Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China
    3. 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
  • Received:2021-10-11 Online:2025-04-18 Published:2025-04-12
  • Contact: Hongqiang YE, Yongsheng ZHOU E-mail:yehongqiang@hsc.pku.edu.cn;kqzhouysh@hsc.pku.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(81801015);the Program for New Clinical Techniques and Therapies of Peking University School and Hospital of Stomatology(PKUSSNCT-20B07);the National Program for Multidisciplinary Cooperative Treatment on Major Diseases(PKUSSNMP-201901);the National Clinical Key Discipline Construction Project(PKUSSNKP-202117)

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摘要：

目的: 比较锥形束计算机体层摄影术(cone beam computed tomography，CBCT)数据参与构建牙颌面虚拟患者时，软组织配准法和牙列配准法的准确度。方法: 选择13名需要行CBCT检查的患者，分别获取其数字牙列图像、配准印模三维图像、面部三维图像和颌面部数据。以配准印模三维图像为媒介建立包含牙列和面部软组织的牙面虚拟患者，将CBCT数据三维重建并形成包含面部软组织、颌骨和牙列的牙颌面虚拟患者，分别通过面中下部软组织标志点(软组织配准法)及牙列标志点(牙列配准法)将CBCT来源的牙颌面虚拟患者和配准印模法建立的牙面虚拟患者进行配准，选择口内扫描来源的数字牙列图像、面部扫描来源的面部三维图像和CBCT来源的颌骨图像建立2种牙颌面虚拟患者(隐藏CBCT来源的面部图像和牙列图像)。以配准印模法建立的牙面虚拟患者面部软组织为参考，对2种牙颌面虚拟患者中CBCT来源面部图像的面下1/2区域及面上1/2区域分别进行三维偏差分析，记录各组偏差的均方根误差(root mean square error，RMSE)。用配对t检验分别比较2种牙颌面虚拟患者中CBCT面部图像的面上1/2与面下1/2区域之间，以及面上1/2区域之间的RMSE差异是否有统计学意义。结果: 配对t检验结果表明，2种牙颌面虚拟患者中CBCT来源面部图像的面上1/2与面下1/2区域之间的RMSE值差异无统计学意义(P>0.05)，面上1/2区域软组织配准法的RMSE值小于牙列配准法[(1.696±0.420) mm vs. (1.752±0.424) mm，P < 0.01]。结论: 基于数字牙列图像、面部三维图像和CBCT来源颌骨图像建立牙颌面虚拟患者时，用软组织配准法将CBCT数据配准到牙面虚拟患者中的准确度较高。

关键词: 虚拟患者, 锥形束计算机体层摄影术, 牙颌面, 牙面, 配准

Abstract:

Objective: To compare the registration accuracy of cone beam computed tomography (CBCT) images while registering to virtual craniodentofacial patients based on soft tissue and the dentition registration method. Methods: Virtual dentofacial patients out of 13 selected participants who needed CBCT scanning were established by impression with a registered-block impression (RBI) based on digital dental images, three-dimensional (3D) facial images and maxillofacial CBCT images. CBCT images were processed in the Mimics software program, establishing the craniofacial virtual patients based on CBCT images (CCTs). Registration between virtual patients from RBI and CCT, using the soft tissue in lower half face (STE) and dentition (DTN) as the reference area, respectively, forming two kinds of virtual craniofacial patients based on digital dental images, 3D facial images and skeletal images of CBCT (hiding the soft tissue and dental casts from CBCT). Three-dimensional deviation analysis was performed in the upper half face and lower half face of facial images from CBCT between two kinds of virtual craniodentofacial patients and compared with 3D facial images from RBI and recorded as root mean square error (RMSE). Paired-t test was used to compare the deviations of RMSEs between the upper and lower half of the face and the upper half of the face of facial images from CCT, respectively, between the two kinds of virtual craniodentofacial patients based on STE and DTN methods. Results: Paired-t tests showed that there was no statistically significant difference between the upper and lower half faces of facial images from CCT between STE and DTN (P>0.05), but the deviation of RMSEs of the upper half face of facial images from CCT in STE was smaller than those in DTN [(1.696±0.420) mm vs. (1.752±0.424) mm, P < 0.01]. Conclusion: The registration accuracy of CBCT registered in virtual craniodentofacial patients using soft tissue as the reference area was higher.

Key words: Virtual patient, Cone beam computed tomography, Craniodentofacial, Dentofacial, Registration

中图分类号: 

  • R783.4

图1

配准印模"

图2

数字牙列图像"

图3

闭口位的三维面部图像"

图4

带有配准印模的三维面部图像"

图5

CBCT来源的牙颌面虚拟患者"

图6

配准印模法建立的牙面虚拟患者"

图7

软组织配准法建立的牙颌面虚拟患者"

图8

牙列配准法建立的牙颌面虚拟患者"

表1

两种牙颌面虚拟患者的CBCT来源面部图像的均方根误差结果(${\bar x}$ ± s, mm)"

Items Upper half face Lower half face P
Soft tissue registration 1.696±0.420 1.694±0.418 0.060
Dentition registration 1.752±0.424 1.737±0.432 0.059
P < 0.001

图9

软组织配准法建立的牙颌面虚拟患者中CBCT来源面部图像的三维偏差分析图谱"

图10

牙列配准法建立的牙颌面虚拟患者中CBCT来源面部图像的三维偏差分析图谱"

1 Joda T , Gallucci GO . The virtual patient in dental medicine[J]. Clin Oral Implants Res, 2015, 26 (6): 725- 726.
doi: 10.1111/clr.12379
2 Su TS , Sun J . Comparison of repeatability between intraoral digital scanner and extraoral digital scanner: An in-vitro study[J]. J Prosthodont Res, 2015, 59 (4): 236- 242.
doi: 10.1016/j.jpor.2015.06.002
3 刘静. 口内扫描仪全牙列扫描精度及不同操作者间扫描精度差异的研究[D]. 济南: 山东大学, 2017.
4 Ye H , Lv L , Liu Y , et al. Evaluation of the accuracy, reliability, and reproducibility of two different 3D face-scanning systems[J]. Int J Prosthodont, 2016, 29 (3): 213- 218.
doi: 10.11607/ijp.4397
5 Ye H , Wang KP , Liu Y , et al. Four-dimensional digital prediction of the esthetic outcome and digital implementation for rehabilitation in the esthetic zone[J]. J Prosthet Dent, 2020, 123 (4): 557- 563.
doi: 10.1016/j.prosdent.2019.04.007
6 Becker K , Schmücker U , Schwarz F , et al. Accuracy and eligibi-lity of CBCT to digitize dental plaster casts[J]. Clin Oral Investig, 2018, 22 (4): 1817- 1823.
doi: 10.1007/s00784-017-2277-x
7 Jayaratne YS , McGrath CP , Zwahlen RA . How accurate are the fusion of cone-beam CT and 3-D stereophotographic images[J]. PLoS One, 2012, 7 (11): e49585.
doi: 10.1371/journal.pone.0049585
8 Xiao Z , Liu Z , Gu Y . Integration of digital maxillary dental casts with 3D facial images in orthodontic patients[J]. Angle Orthod, 2019, 90 (3): 397- 404.
9 Bechtold TE , Göz TG , Schaupp E , et al. Integration of a maxillary model into facial surface stereophotogrammetry[J]. J Orofac Orthop, 2012, 73 (2): 126- 137.
doi: 10.1007/s00056-011-0060-1
10 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 Maxillofac Surg, 2016, 54 (5): 584- 586.
doi: 10.1016/j.bjoms.2016.01.019
11 Granata S , Giberti L , Vigolo P , et al. Incorporating a facial scanner into the digital workflow: A dental technique[J]. J Prosthet Dent, 2020, 123 (6): 781- 785.
doi: 10.1016/j.prosdent.2019.05.021
12 Bohner L , Gamba DD , Hanisch M , et al. Accuracy of digital technologies for the scanning of facial, skeletal, and intraoral tissues: A systematic review[J]. J Prosthet Dent, 2019, 121 (2): 246- 251.
doi: 10.1016/j.prosdent.2018.01.015
13 Kim J , Heo G , Lagravère MO . Accuracy of laser-scanned models compared to plaster models and cone-beam computed tomography[J]. Angle Orthod, 2014, 84 (3): 443- 450.
doi: 10.2319/051213-365.1
14 Akyalcin S , Dyer DJ , English JD , et al. Comparison of 3-dimensional dental models from different sources: Diagnostic accuracy and surface registration analysis[J]. Am J Orthod Dentofacial Orthop, 2013, 144 (6): 831- 837.
doi: 10.1016/j.ajodo.2013.08.014
15 吕燕, 严斌, 王林, 等. 利用锥形束CT和激光快速成型技术制作牙颌模型的可靠性分析[J]. 上海口腔医学, 2012, 21 (2): 175- 179.
16 Lim MY , Lim SH . Comparison of model analysis measurements among plaster model, laser scan digital model, and cone beam CT image[J]. Korean J Orthod, 2009, 39 (1): 6- 17.
doi: 10.4041/kjod.2009.39.1.6
17 Nahm KY , Kim Y , Choi YS , et al. Accurate registration of cone-beam computed tomography scans to 3-dimensional facial photographs[J]. Am J Orthod Dentofacial Orthop, 2014, 145 (2): 256- 264.
doi: 10.1016/j.ajodo.2013.10.018
18 Pérez-Giugovaz MG , Park SH , Revilla-León M . Three-dimensional virtual representation by superimposing facial and intraoral digital scans with an additively manufactured intraoral scan body[J]. J Prosthet Dent, 2020, 126 (4): 459- 463.
19 国丹妮, 潘韶霞, 衡墨笛, 等. 应用于无牙颌种植修复设计的三维面部扫描配准方法的对比[J]. 北京大学学报(医学版), 2021, 53 (1): 83- 87.
doi: 10.19723/j.issn.1671-167X.2021.01.013
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ISSN 1671-167X
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