Abstract
Compared to conventional dental panoramic radiograph, synthesizing panoramic radiograph directly computed from dental cone-beam computed tomography (CBCT) images provides high-resolution images with reduced geometric distortion. Previous approaches required manual operations or were based on CBCT images without metal artifacts or missing teeth. In this paper, we introduced a fully-automatic method that can be applied to CBCT scans under severe conditions, which consist three main steps: bone and teeth segmentation, mandible curve extraction, and panoramic mapping. An adaptive method was first used for bone and teeth segmentation. Then the internal mandible curve, which provides a stable curve regardless of metal artifacts or missing teeth, was extracted and utilized for panoramic mapping. Our synthesizing method showed stable performance on various CBCT data sets.
Original language | English |
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Article number | COIMG-148 |
Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
Volume | 2019 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2019 Jan 13 |
Event | 17th Computational Imaging Conference, CI 2019 - Burlingame, United States Duration: 2019 Jan 13 → 2019 Jan 17 |
Bibliographical note
Publisher Copyright:© 2019, Society for Imaging Science and Technology
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics