DDS., PhD., Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, Korea.
DDS., PhD., Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Sci Rep. 2018 Sep 10;8(1):13516. doi: 10.1038/s41598-018-31869-6.
This study aims to introduce a new algorithm developed using retrospective cone-beam computed tomography (CBCT) data to obtain a standard dental and mandibular arch shape automatically for an optimal panoramic focal trough. A custom-made program was developed to analyze each arch shape of randomly collected 30 CBCT images. First, volumetric data of the mandible were binarized and projected in the axial direction to obtain 2-dimensional arch images. Second, 30 patients' mandibular arches were superimposed on the center of the bilateral distal contact points of the mandibular canines to generate an average arch shape. Third, the center and boundary of a panoramic focal trough were obtained using smoothing splines. As a result, the minimum thickness and transition of the focal trough could be obtained. If this new algorithm is applied to big data of retrospective CBCT images, standard focal troughs could be established by race, sex, and age group, which would improve the image quality of dental panoramic radiography.
本研究旨在介绍一种新的算法，该算法使用回顾性锥形束计算机断层扫描（CBCT）数据自动获得标准的牙科和下颌弓形状，以获得最佳的全景焦点槽。开发了一个定制程序来分析随机收集的 30 个 CBCT 图像的每个弓形状。首先，对下颌骨的体积数据进行二值化，并在轴向上投影，以获得二维弓图像。其次，将 30 名患者的下颌弓叠加到下颌尖牙双侧远中接触点的中心，以生成平均弓形状。第三，使用平滑样条获得全景焦点槽的中心和边界。结果，可以获得焦点槽的最小厚度和过渡。如果将这种新算法应用于回顾性 CBCT 图像的大数据，就可以按种族、性别和年龄组建立标准的焦点槽，从而提高牙科全景射线照相的图像质量。
