3D distribution of dental plaque on occlusal surface using 2D-fluorescence-image to 3D-surface registration
3D distribution of dental plaque on occlusal surface using 2D-fluorescence-image to 3D-surface registration
复制标题
使用 2D 荧光图像到 3D 表面配准显示牙菌斑在咬合面上的 3D 分布
DOI：
10.1016/j.compbiomed.2020.103860
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发表时间：
2020-06
影响因子：
7.7
通讯作者：
Wei Kaihua
中科院分区：
文献类型：
--
作者：
Chen Qingguang;Jin Xing;Zhu Haihua;Salehi Hassan S.;Wei Kaihua
牙菌斑在牙齿表面的积聚对蛀牙的发展起着至关重要的作用。本文将荧光成像与基于结构光的口腔内三维扫描仪相结合，研究牙菌斑的三维分布。传统的荧光成像方法只能显示牙菌斑在牙齿表面的二维空间分布。为了可视化牙菌斑在咬合表面的三维分布，研究了将二维荧光图像映射到三维咬合表面。提出了一种基于迭代最近点（ICP）的轮廓配准方法。对荧光相机进行了标定以获得其固有参数。优化了用于投影三维咬合面的旋转和平移矩阵，使其能够匹配二维荧光图像和三维投影模型的轮廓。牙菌斑的三维分布表明牙菌斑的积累与牙表面的局部和整体形态有关。因此，凹坑和裂缝的深度并不是用来确定牙菌斑含量的唯一参数。利用2D-3D配准对牙合菌斑的三维分布进行研究，为定量分析牙面形态进行牙菌斑导向的龋病风险评估铺平了道路。
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.
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影响因子：
2.9
作者：
Yuzbasioglu E;Kurt H;Turunc R;Bilir H
通讯作者：
Bilir H
DOI：
10.1177/0300060517705476
发表时间：
2017-10
期刊：
The Journal of international medical research
影响因子：
--
作者：
Sreenivasan PK;Prasad KVV
通讯作者：
Prasad KVV
影响因子：
2.9
作者：
Angelino K;Shah P;Edlund DA;Mohit M;Yauney G
通讯作者：
Yauney G
DOI：
10.1109/tpami.2004.21
发表时间：
2004-07-01
影响因子：
23.6
作者：
Zhang, ZY
通讯作者：
Zhang, ZY
影响因子：
3.5
作者：
Son, Sung-Ae;Jung, Kyeong-Hoon;Kwon, Yong Hoon
通讯作者：
Kwon, Yong Hoon