Oral panorama reconstruction method based on pre-segmentation and Bezier function.
10.7507/1001-5515.202302036
- Author:
Changpeng HOU
1
;
Fudong ZHU
2
;
Gaohua ZHANG
1
;
Zhen LYU
3
;
Yunfeng LIU
4
;
Weidong ZHU
1
Author Information
1. Zhejiang University, College of Mechanical Engineering, Hangzhou 310058, P. R. China.
2. Affiliated Stomatological Hospital of Zhejiang University School of Medicine, Hangzhou 310006, P. R. China.
3. Hangzhou City University, Engineering college, HangZhou 310015, P. R. China.
4. Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou 310023, P. R. China.
- Publication Type:Journal Article
- Keywords:
Bezier curve;
Cone beam computerized tomography;
Deep learning;
Dental arch lines;
Oral panorama images
- MeSH:
Humans;
Radiography, Panoramic/methods*;
Cone-Beam Computed Tomography/methods*;
Head;
Image Processing, Computer-Assisted/methods*
- From:
Journal of Biomedical Engineering
2023;40(5):894-902
- CountryChina
- Language:Chinese
-
Abstract:
For patients with partial jaw defects, cysts and dental implants, doctors need to take panoramic X-ray films or manually draw dental arch lines to generate Panorama images in order to observe their complete dentition information during oral diagnosis. In order to solve the problems of additional burden for patients to take panoramic X-ray films and time-consuming issue for doctors to manually segment dental arch lines, this paper proposes an automatic panorama reconstruction method based on cone beam computerized tomography (CBCT). The V-network (VNet) is used to pre-segment the teeth and the background to generate the corresponding binary image, and then the Bezier curve is used to define the best dental arch curve to generate the oral panorama. In addition, this research also addressed the issues of mistakenly recognizing the teeth and jaws as dental arches, incomplete coverage of the dental arch area by the generated dental arch lines, and low robustness, providing intelligent methods for dental diagnosis and improve the work efficiency of doctors.
