Evidence map›Paper›PMID 40219569›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2025

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

Jiahui Ye, Shimin Wang, Zixuan Wang, Yunsong Liu, Yuchun Sun, Hongqiang Ye, Yongsheng Zhou

Abstract readComparative StudyEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiahui YeDepartment of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Shimin WangCenter of Dental Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Zixuan WangCenter of Dental Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Yunsong LiuDepartment of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Yuchun SunCenter 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.
Hongqiang YeDepartment of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Yongsheng ZhouDepartment of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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.

methodsVirtual 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-

resultsPaired-

conclusionThe registration accuracy of CBCT registered in virtual craniodentofacial patients using soft tissue as the reference area was higher.

Indexed as

Cone-Beam Computed TomographyFaceImaging, Three-DimensionalAdultFemaleHumansImage Processing, Computer-AssistedMaleUser-Computer InterfaceYoung AdultCone beam computed tomographyCraniodentofacialDentofacialRegistrationVirtual patient

Identifiers

PMID40219569
PMCPMC11992456

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