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积累在发展龋齿中起关键作用。在本文中，结合基于结构化光的口腔内3D扫描仪的荧光成像模式来研究牙菌斑的3D分布。传统的荧光成像方法只能显示牙齿表面上牙菌斑的二维空间分布。为了可视化牙斑在咬合面上的3D分布，研究了将2D荧光图像映射到3D咬合面上的情况。提出了一种基于迭代最近点（ICP）的轮廓配准方法。校准荧光照相机以获得固有参数。优化了投影3D咬合面的旋转和平移矩阵，以匹配2D荧光图像和3D投影模型的轮廓。牙菌斑的3D分布表明，牙菌斑的积聚与牙齿表面的局部和整体形态有关。因此，凹坑和裂缝的深度不是用来确定噬斑含量的唯一参数。使用2D-3D配准对咬合斑块的3D分布进行研究，为定量分析牙齿表面形态以进行斑块引导的龋齿风险评估铺平了道路。坑缝的深度并不是确定噬菌斑含量的唯一参数。使用2D-3D配准对牙菌斑的3D分布进行研究，为定量分析牙齿表面形态以进行牙菌斑引导的龋齿风险评估铺平了道路。坑缝的深度并不是确定噬菌斑含量的唯一参数。使用2D-3D配准对咬合斑块的3D分布进行研究，为定量分析牙齿表面形态以进行斑块引导的龋齿风险评估铺平了道路。