3D distribution of dental plaque on occlusal surface using 2D-fluorescence-image to 3D-surface registration. (August 2020)

• Record Type: Journal Article
• Authors: Chen, Qingguang; Jin, Xing; Zhu, Haihua; Salehi, Hassan S.; Wei, Kaihua
• Is Part Of: Computers in biology and medicine. Volume 123(2020)
• Publication Date: 2020-08
• Subjects: 3D distribution -- Image processing -- Algorithms -- Dental plaque -- Occlusal surface -- 2D-3D registration -- ICP; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2020.103860
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: 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. Highlights: 3D distribution of dental plaque on occlusal surface was investigated. Mapping 2D-fluorescence-image on 3D-surface was achieved. 2D fluorescence image was quantified as index of dental plaque. ICP-based contour registration was effective for occlusal 2D-3D registration. Dental plaque accumulation relates to local and global morphology of tooth surface.