A three-dimensional dental model restoration method based on tooth feature contours
| Autor: | Yongzhen Ke, Zhao Wenjie, Jiaying Liu, Xue Yongjiang, Shuai Yang |
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| Rok vydání: | 2021 |
| Předmět: |
Pixel
Matching (graph theory) business.industry Computer science General Engineering 020207 software engineering 030206 dentistry 02 engineering and technology Restoration method Computer Science Applications Vertex (geometry) Image (mathematics) 03 medical and health sciences 0302 clinical medicine Computational Theory and Mathematics Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Laplace operator Software Smoothing |
| Zdroj: | Engineering Computations. 38:3608-3621 |
| ISSN: | 0264-4401 |
| DOI: | 10.1108/ec-07-2020-0385 |
| Popis: | Purpose Due to the inability to directly apply an intra-oral image with esthetic restoration to restore tooth shape in the computer-aided design system, this paper aims to propose a method that can use two-dimensional contours obtained from the image for the three-dimensional dental mesh model restoration. Design/methodology/approach First, intra-oral image and smiling image are taken from the patient, then teeth shapes of the images are designed based on esthetic restoration concepts and the pixel coordinates of the teeth’s contours are converted into the vertex coordinates in the three-dimensional space. Second, the dental mesh model is divided into three parts – active part, passive part and fixed part – based on the teeth’s contours of the mesh model. Third, the vertices from the teeth’s contours of the dental model are matched with ones from the intra-oral image and with the help of matching operation, the target coordinates of each vertex in the active part can be calculated. Finally, the Laplacian-based deformation algorithm and mesh smoothing algorithm are performed. Findings Benefitting from the proposed method, the dental mesh model with esthetic restoration can be quickly obtained based on the intra-oral image that is the result of doctor-patient communication. Experimental results show that the quality of restoration meets clinical needs, and the typical time cost of the method is approximately one second. So the method is both time-saving and user-friendly. Originality/value The method provides the possibility to design personalized dental esthetic restoration solutions rapidly. |
| Databáze: | OpenAIRE |
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