Hou Changpeng, Zhu Fudong, Zhang Gaohua, Lyu Zhen, Liu Yunfeng, Zhu Weidong
Zhejiang University, College of Mechanical Engineering, Hangzhou 310058, P. R. China.
Affiliated Stomatological Hospital of Zhejiang University School of Medicine, Hangzhou 310006, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Oct 25;40(5):894-902. doi: 10.7507/1001-5515.202302036.
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.
对于患有部分颌骨缺损、囊肿和牙种植体的患者,医生在口腔诊断过程中需要拍摄全景X光片或手动绘制牙弓线以生成全景图像,以便观察其完整的牙列信息。为了解决患者拍摄全景X光片额外负担以及医生手动分割牙弓线耗时的问题,本文提出了一种基于锥形束计算机断层扫描(CBCT)的自动全景重建方法。使用V网络(VNet)对牙齿和背景进行预分割以生成相应的二值图像,然后使用贝塞尔曲线定义最佳牙弓曲线以生成口腔全景图。此外,本研究还解决了将牙齿和颌骨误识别为牙弓、生成的牙弓线对牙弓区域覆盖不完整以及鲁棒性低等问题,为牙科诊断提供了智能方法并提高了医生的工作效率。