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Journal of Peking University (Health Sciences) ›› 2025, Vol. 57 ›› Issue (2): 354-359. doi: 10.19723/j.issn.1671-167X.2025.02.021

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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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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

CLC Number: 

  • R783.4

Figure 1

Registered-block impression"

Figure 2

Digital dental image"

Figure 3

3D facial image in closed-mouth position"

Figure 4

3D facial image with registered-block impression"

Figure 5

Virtual craniodentofacial patient based on CBCT reconstruction"

Figure 6

Virtual craniodentofacial patient based on registered-block impression"

Figure 7

Virtual craniodentofacial patient based on soft tissue registration"

Figure 8

Virtual craniodentofacial patient based on dentition registration"

Table 1

RMSEs of facial images from CBCT for two kinds of virtual craniodentofacial patients (${\bar x}$ ± 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

Figure 9

Three dimensional deviation analysis of virtual craniodentofacial patient based on soft tissue registration method CBCT, cone beam computed tomography."

Figure 10

Three dimensional deviation analysis of virtual craniodentofacial patient based on dentition registration method CBCT, cone beam computed tomography."

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