Gingivitis Detection via Spectral Tissue Contribution Subtraction
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Solution Overview
Problem
Current gingivitis detection using diffuse reflective spectroscopy (DRS) is hindered by sensitivity to specular reflections and requires a large number of wavelengths, making it impractical for oral healthcare systems, especially for consumer products, due to cost and space constraints.
Innovation Solution
A system and method that uses a minimum number of wavelengths to detect tissue inflammation by determining tissue contribution at specific wavelengths, extrapolating this contribution to other wavelengths with hemoglobin absorption features, and subtracting it from the diffuse reflectance signal to determine the degree of inflammation, while being insensitive to specular reflections and reducing sensitivity to dental hard tissue signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-contact mode is used for DRS measurement, then tissue pressure is reduced and blood displacement is avoided, but unwanted specular reflected light is detected in addition to diffuse reflected light
Solution Approach 1:
The invention segments the detected light signal into two distinct components: specular reflected light and diffuse reflected light. By using multiple detectors at different angles, the system separates these components spatially, allowing the diffuse component (which contains the desired tissue information) to be isolated from the specular component (which contains unwanted surface reflections). This segmentation enables accurate tissue characterization without the interference of specular reflections.
Solution Approach 2:
The invention introduces angular separation as an intermediary mechanism to distinguish between specular and diffuse reflected light. By positioning detectors at specific angles relative to the incident light path, the system uses the angular distribution of reflected light as a mediator to filter out specular components while capturing diffuse components. This angular intermediary allows the system to selectively detect the desired signal while rejecting the harmful specular reflections.
2Length of stationary object
If source-detector separation is increased to improve sampling depth, then deeper tissue can be probed, but light from non-gingival tissue such as teeth and dental implants is detected
Solution Approach 1:
The invention applies local quality by using multiple detectors positioned at different angles and distances from the light source. Each detector is configured to sample light from a specific spatial zone, allowing the system to weight and combine signals based on their local origin. This enables the system to preferentially detect light from the gingival tissue of interest while minimizing contamination from adjacent structures like teeth, achieving both adequate sampling depth and high tissue specificity.
Solution Approach 2:
The invention transitions from a single-source-single-detector configuration to a multi-detector array arranged in specific three-dimensional geometries. By adding angular and spatial dimensions to the detection configuration, the system can discriminate between light originating from different tissue depths and locations. This dimensional expansion allows simultaneous optimization of sampling depth and tissue specificity by selecting signals from appropriate spatial zones.
3Measurement precision
If multiple wavelengths are used to accurately detect gingivitis, then detection accuracy is improved, but system cost and space requirements increase
Solution Approach 1:
The invention applies partial action by selecting a specific subset of wavelengths that are most critical for detecting gingivitis, rather than using the full spectral range. By identifying and utilizing only the essential wavelength regions (such as those corresponding to hemoglobin absorption features), the system achieves adequate detection accuracy with fewer wavelengths, thereby reducing system complexity, cost, and space requirements while maintaining sufficient diagnostic capability.
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 accurate gingivitis detection with reduced sensitivity to specular reflections and a lower number of wavelengths, allowing for a degree of freedom in wavelength selection, thus improving the effectiveness and cost-effectiveness of oral healthcare systems.
Implementation Method 1
detect diffuse reflective light reflected from the tissue
Implementation Method 2
analyze the detected diffuse reflective light in its spectral components... where the diffuse reflective spectroscopy signal includes at least one detectable hemoglobin absorption feature
Data Source
AI summary
A tissue inflammation detection system (600) including: a light emitter (602) configured to emit light towards tissue (604); at least one light detector (606) configured to detect diffuse reflective light from the tissue; and a controller (613) including a tissue inflammation detection unit (614) configured to analyze the detected diffuse reflective light in its spectral components. The tissue inflammation detection unit is configured to: determine a tissue contribution from a first wavelength region of a diffuse reflective spectroscopy signal where the diffuse reflective spectroscopy signal is dominated by tissue; extrapolate the tissue contribution to a second wavelength region where the diffuse reflective spectroscopy signal includes at least one detectable hemoglobin absorption feature; subtract the extrapolated tissue contribution from the diffuse reflectance signal; and determine the degree of tissue inflammation.