Advances in algorithms for three-dimensional craniomaxillofacial features construction based on point clouds.
10.3760/cma.j.cn112144-20230218-00049
- VernacularTitle:颅颌面点云数据解剖标志点及对称参考平面的构建算法浅析
- Author:
Yi Jiao ZHAO
1
;
Lin GAO
2
;
Yong WANG
1
Author Information
1. Center of Digital Dentistry, Faculty of Prosthodontics, 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 & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
2. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing 100000, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Imaging, Three-Dimensional/methods*;
Facial Asymmetry;
Algorithms
- From:
Chinese Journal of Stomatology
2023;58(6):519-526
- CountryChina
- Language:Chinese
-
Abstract:
In light of the increasing digitalization of dentistry, the automatic determination of three-dimensional (3D) craniomaxillofacial features has become a development trend. 3D craniomaxillofacial landmarks and symmetry reference plane determination algorithm based on point clouds has attracted a lot of attention, for point clouds are the basis for virtual surgery design and facial asymmetry analysis, which play a key role in craniomaxillofacial surgery and orthodontic treatment design. Based on the studies of our team and national and international literatures, this article presented the deep geometry learning algorithm to determine landmarks and symmetry reference plane based on 3D craniomaxillofacial point clouds. In order to provide reference for future clinical application, we describe the development and latest research in this field, and analyze and discuss the advantages and limitations of various methods.
