Structured Light Tooth Demineralization Detection for Early Caries
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Solution Overview
Problem
Current methods for detecting dental caries rely heavily on visual inspection, which is subjective and lacks standardization, and cannot quantify early-stage tooth discoloration effectively.
Innovation Solution
An optical method using structured light patterns to irradiate and detect light intensity and phase shifts from tooth substance, enabling objective and quantitative assessment of demineralization through structured light imaging and fluorescence detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual detection methods are used, then the examination process is simple, but the measurement precision and objectivity are insufficient
Solution Approach 1:
The patent replaces subjective visual inspection with an optical measurement system that uses structured light projection and camera-based detection. This substitutes human visual judgment with objective optical physics-based measurement, achieving quantifiable detection of demineralization through light scattering and fluorescence properties of tooth tissue.
Solution Approach 2:
The patent introduces structured light patterns as an intermediary between the detection system and tooth tissue. These projected patterns serve as a mediator that interacts with the tooth surface, allowing the system to extract quantitative information about demineralization through analysis of light reflection, scattering, and fluorescence responses.
2Measurement precision
If early stage demineralization is detected, then the detection sensitivity is improved, but the measurement precision requirements increase
Solution Approach 1:
The patent employs multiple optical parameters including light scattering intensity, fluorescence emission characteristics, and phase information from structured light patterns. By measuring these different physical parameters simultaneously, the system achieves high sensitivity for early demineralization detection while maintaining data quality through multi-parameter validation and cross-verification.
Solution Approach 2:
The patent transitions from two-dimensional surface visual inspection to three-dimensional volumetric assessment by using structured light patterns that penetrate and interact with subsurface tooth tissue. This enables detection of demineralization below the surface while maintaining measurement precision through depth-resolved optical properties.
3Measurement precision
If structured light patterns with different spatial frequencies are used, then the depth sensitivity is improved, but the device complexity increases
Solution Approach 1:
The patent uses periodic structured light patterns with different spatial frequencies that are projected sequentially onto the tooth surface. By systematically varying the spatial frequency of these periodic patterns and analyzing the corresponding optical responses, the system achieves depth-sensitive measurement capability through a controlled, repeatable measurement protocol.
Solution Approach 2:
The patent implements dynamic measurement sequences where structured light patterns with varying spatial frequencies are projected in a predetermined sequence. The system adaptively processes measurements from different spatial frequencies to reconstruct depth-resolved demineralization information, transforming a potentially complex multi-parameter measurement into a streamlined dynamic measurement protocol.
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
Enables early and sensitive detection of demineralization, allowing for precise quantification and documentation of initial caries with improved depth sensitivity and standardization.
Implementation Method 1
detecting a light intensity of the light pattern and/or intensity amplitude remitted from the volume of the tooth substance
Implementation Method 2
detecting a fluorescence transition of the remitted light intensity
Data Source
AI summary
A method for detecting demineralization of a tooth substance, including the steps of irradiating (S101) a structured light pattern onto the tooth substance; detecting (S102) a light intensity of the light pattern remitted from the volume of the tooth substance; and determining (S103) demineralization of the tooth substance based on the detected light intensity.