Multilayered Tissue Detection via Hierarchical Spectral Modeling
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Solution Overview
Problem
Traditional imaging methods, including OCT, struggle to accurately detect the depth of semitransparent biological multilayered tissues, particularly for thin underlayers and dynamic changes, due to limitations in axial resolution, scanning modes, signal-to-noise ratio, and cost considerations.
Innovation Solution
A system comprising a broadband light source and optical detectors, coupled with a processing module that determines spectral properties and physical characteristics of multilayered tissues using multiple spectral models, allowing for hierarchical determination of best-fit models based on optical properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OCT methods are used to detect multilayered tissues, then depth detection capability is improved, but axial resolution is limited to tens of microns which is insufficient for thin layers
Solution Approach 1:
The patent segments the multilayered tissue into distinct layers (lipid layer, aqueous layer, mucus layer) and applies layer-specific optical models to each. This segmentation enables the system to resolve thin layers individually rather than as a bulk tissue, overcoming the axial resolution limitation of traditional OCT methods.
Solution Approach 2:
The patent changes the measurement parameter from standard OCT intensity-based depth detection to spectral analysis of optical properties (absorption, scattering, refractive index) across multiple wavelengths. This parameter change enables detection of thin layers with sub-micron resolution by analyzing spectral signatures rather than relying solely on axial resolution.
2Measurement precision
If scanning mode is used in OCT methods, then depth detection is improved, but time intervals for data acquisition are limited which prevents measurement of fast dynamic changes
Solution Approach 1:
The patent uses periodic spectral illumination with broadband light across multiple wavelengths simultaneously, replacing the sequential scanning approach. This periodic spectral action captures all depth information in parallel at each time point, enabling measurement of fast dynamic changes in tear film layers without the time delays inherent in scanning modes.
Solution Approach 2:
The patent transitions from one-dimensional axial scanning to multi-dimensional spectral analysis by measuring optical properties across wavelength, polarization, and spatial dimensions simultaneously. This dimensional expansion allows depth detection without sequential scanning, capturing dynamic changes in real-time.
3Reliability
If higher signal to noise ratio is required for measuring dynamic changes, then measurement quality is improved, but cost increases due to need for laser or swept source
Solution Approach 1:
The patent replaces expensive, complex laser and swept source systems with a more economical broadband light source that can be integrated into standard spectrometers. This substitution maintains measurement reliability through spectral analysis while significantly reducing system cost and complexity.
Solution Approach 2:
The patent substitutes the mechanical scanning and complex optical systems of OCT with a spectral analysis approach using standard spectrometer components. This substitution eliminates the need for expensive lasers and swept sources while achieving comparable or superior measurement quality through multi-parameter spectral detection.
4Device complexity
If traditional imaging methods are used, then system complexity is reduced, but detection of thin underlayers and small structures is not accurate
Solution Approach 1:
The patent creates a multi-functional system that combines spectral analysis, polarization detection, and layer-specific modeling in a single platform. This universal approach detects thin layers and small structures accurately while maintaining manageable system complexity by integrating multiple functions into one cohesive system rather than requiring separate specialized devices.
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 high-resolution, sensitive detection of thin layers and dynamic changes in multilayered tissues, such as the tear film, improving diagnostic capabilities for conditions like dry eye syndrome.
Implementation Method 1
detector-output from at least one optical detector, the detector-output being indicative of optical properties of light reflected or deflected from the respective multilayered tissue
Implementation Method 2
optical properties of light reflected or deflected from the respective multilayered tissue
Implementation Method 3
a broadband light source configured and positioned to directly or indirectly illuminate the multilayered tissue
Data Source
AI summary
Systems and methods for detecting physical characteristics of a multilayered tissue of a subject, such as a tear film including analyzing received detector-output indicative of optical properties of light reflected or deflected from the respective multilayered tissue, to determine spectral properties of the multilayered tissue; and determining physical characteristics of the multilayered tissue by using multiple spectral models of the of the multilayered tissue, each model being associated with spectral properties indicative of different tissue characteristics, wherein physical characteristics of the multilayered tissue are determined by hierarchal determination of a best-fit model from the multiple spectral models.