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.
部分颌骨缺损、囊肿和需要种植牙的患者，在口腔诊断过程中医生为了观察其完整的牙列信息，需要患者拍摄全景X光片，或者需要医生手动绘制牙弓线用以生成全景图。针对患者拍摄全景X光片将增加额外负担以及医生手动分割牙弓线耗时过长的问题，本文基于锥形束计算机断层扫描（CBCT）提出了一种全自动全景图重建方法，使用V型网络（VNet）将牙齿与背景预分割，生成对应的二值图，再利用贝塞尔曲线定义最佳牙弓曲线，生成口腔全景图。此外，本研究还解决了将牙颌骨误识别为牙弓、生成的牙弓线覆盖牙弓区域不全面和鲁棒性低等问题，可为今后牙科诊断智能化以及提高医生工作效率奠定理论基础。.
Keywords: Bezier curve; Cone beam computerized tomography; Deep learning; Dental arch lines; Oral panorama images.