Chen Qingguang, Jin Xing, Zhu Haihua, Salehi Hassan S, Wei Kaihua
School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China.
School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China.
Comput Biol Med. 2020 Aug;123:103860. doi: 10.1016/j.compbiomed.2020.103860. Epub 2020 Jun 25.
The accumulation of dental plaque on a tooth surface plays a crucial role in developing dental caries. In this paper, fluorescence imaging modality with structured light-based intraoral 3D scanner were combined to investigate the 3D distribution of dental plaque. The traditional fluorescence imaging method only reveals the 2D spatial distribution of the dental plaque on a tooth surface. To visualize the 3D distribution of the dental plaque on an occlusal surface, mapping a 2D fluorescence image to a 3D occlusal surface was investigated. An iterative closest point (ICP)-based contour registration method was proposed. A fluorescence camera was calibrated to obtain intrinsic parameters. The rotation and translation matrices for projecting the 3D occlusal surface were optimized to match the contours of the 2D fluorescence image and the 3D projected model. The 3D distribution of occlusal plaque reveals that dental plaque accumulation relates to the local and global morphology of the tooth surface. Thus, the depth of the pit-and-fissure is not the only parameter used to determine plaque content. The investigation of the 3D distribution of occlusal plaque using 2D-3D registration paves the path for the quantitative analysis of the tooth surface morphology to perform plaque-guided caries risk assessment.
牙菌斑在牙齿表面的堆积在龋齿形成过程中起着关键作用。在本文中,将基于结构光的口腔内三维扫描仪的荧光成像模态相结合,以研究牙菌斑的三维分布。传统的荧光成像方法仅揭示了牙菌斑在牙齿表面的二维空间分布。为了可视化咬合面上牙菌斑的三维分布,研究了将二维荧光图像映射到三维咬合面的方法。提出了一种基于迭代最近点(ICP)的轮廓配准方法。对荧光相机进行校准以获得内部参数。优化用于投影三维咬合面的旋转和平移矩阵,以匹配二维荧光图像和三维投影模型的轮廓。咬合面菌斑的三维分布表明,牙菌斑的堆积与牙齿表面的局部和整体形态有关。因此,窝沟深度不是用于确定菌斑含量的唯一参数。使用二维-三维配准对咬合面菌斑的三维分布进行研究,为进行菌斑引导的龋齿风险评估的牙齿表面形态定量分析铺平了道路。