Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil Songpa-Gu, Seoul 05505, Republic of Korea.
Department of Orthodontics, Kooalldam Dental Hospital, 1418 Gyeongwon-daero, Bupyeong-gu, Incheon, Republic of Korea.
Comput Methods Programs Biomed. 2019 Apr;172:95-101. doi: 10.1016/j.cmpb.2019.02.013. Epub 2019 Feb 25.
The dental arch form is generally used as a base for planning orthodontic treatments. It is, therefore, vital to determine the proper individual dental arch form for more accurate orthodontic treatment. We aimed to develop and validate a robust algorithm for semi-automatic determination of the dental arch form in dental cone-beam CT (CBCT) images with the cubic B-spline approximation.
Our algorithm consists of tooth segmentation, determination of an occlusal plane, and generation of intersection points between the teeth and the offset plane from the occlusal plane in CBCT images. By fitting a curve to the intersection points using the cubic B-spline curve approximation, the dental arch form was finally determined. The accuracy of the dental arch forms was evaluated by comparison with gold standards determined by an expert orthodontist.
Thirteen dental CBCT scans from nine subjects were enrolled in this study. From the CBCT scans, 13 maxillary arch forms and 11 mandibular arch forms with Class I occlusion were determined by our proposed algorithm and evaluated for validation. The mean error between the dental arch forms of gold standards and our method using the cubic B-spline was 0.413 ± 0.092 mm (range, 0.264-0.587 mm).
Our proposed method showed reliable accuracy of determining the dental arch forms for the maxilla and mandible. These results suggested that this method might be used for planning automatic tooth setup for individual patients.
牙弓形态通常被用作正畸治疗计划的基础。因此,确定合适的个体牙弓形态对于更准确的正畸治疗至关重要。我们旨在开发和验证一种使用三次 B 样条逼近的半自动化确定牙弓形态的稳健算法,用于口腔锥形束 CT(CBCT)图像。
我们的算法包括牙齿分割、确定咬合平面以及在 CBCT 图像中从咬合平面生成牙齿与偏移平面的交点。通过使用三次 B 样条曲线逼近拟合曲线,最终确定牙弓形态。通过与由正畸专家确定的金标准进行比较,评估牙弓形态的准确性。
本研究纳入了 9 名受试者的 13 例口腔 CBCT 扫描。从 CBCT 扫描中,通过我们提出的算法确定了 13 例上颌弓形态和 11 例具有 I 类咬合的下颌弓形态,并进行了验证评估。金标准和我们使用三次 B 样条的方法之间的牙弓形态的平均误差为 0.413±0.092 mm(范围为 0.264-0.587 mm)。
我们提出的方法显示出确定上颌和下颌牙弓形态的可靠准确性。这些结果表明,该方法可用于为个体患者规划自动牙齿设置。