Dental Plaque Detection via Fluorescence Shape Analysis
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Solution Overview
Problem
Existing dental plaque detection systems using quantified light fluorescence (QLF) struggle to reliably distinguish between plaque and tartar, as both can produce high fluorescence signals, leading to inaccurate feedback for users.
Innovation Solution
A system that integrates a camera with a light source and a processor to generate intra-oral images and discriminate between plaque and tartar by analyzing shape and intensity distribution features, such as spatial homogeneity and edge sharpness, using algorithms that can run on low-cost, low-computational-resource devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If QLF imaging is used to detect fluorescent regions, then plaque detection capability is improved, but reliability of discrimination between plaque and tartar deteriorates
Solution Approach 1:
The patent transitions from single-intensity QLF imaging to multi-dimensional analysis by capturing images at multiple wavelengths (e.g., blue and green channels) and analyzing both spatial distribution patterns and intensity ratios. This dimensional expansion enables reliable plaque-tartar discrimination while maintaining detection precision.
Solution Approach 2:
The system changes the parameters analyzed beyond simple fluorescence intensity by examining spatial distribution patterns, edge characteristics, and intensity ratios across different wavelengths. These parameter transformations enable reliable discrimination between plaque and tartar that cannot be achieved with intensity alone.
2Device complexity
If simple intensity-based discrimination is used, then device complexity is reduced, but measurement precision of plaque-tartar discrimination deteriorates
Solution Approach 1:
The patent segments the fluorescence signal analysis into multiple independent components: spatial distribution pattern recognition, intensity ratio calculation across wavelengths, and edge characteristic analysis. This segmentation allows sophisticated discrimination using simple, computationally efficient operations that can be implemented in low-cost devices.
Solution Approach 2:
Instead of using complex algorithms, the patent transforms the discrimination problem into analysis of different parameters such as spatial distribution patterns, intensity ratios, and edge characteristics. These parameter changes enable high precision discrimination through simple computational operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides accurate feedback to users by distinguishing between plaque and tartar, preventing users from being advised to brush away tartar, which cannot be removed by brushing, thereby improving oral hygiene practices.
Implementation Method 1
a camera system for generating intra-oral images comprising a light source and a detector for generating light induced fluorescence images
Data Source
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AI summary
A system and method are provided for detecting dental plaque. Intra-oral images are generated comprising light induced fluorescence images. Shape and/or intensity distribution features of fluorescent regions in the generated images are identified so that regions of tartar and regions of plaque can be discriminated.