Multimode Optical Tissue Characterization for Melanin Masking
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Solution Overview
Problem
Current melanoma detection methods, such as statistical classifiers and optical imaging systems, face challenges in specificity, particularly in larger populations, and fail to provide biologically plausible results, leading to high false-positive and false-negative rates and inadequate depth information, which complicates early diagnosis and treatment.
Innovation Solution
A method and system utilizing multiple wavelength light with distinguishable polarization modes to create hyperspectral image sets, allowing for the determination of tissue characteristics by separating superficial and deep melanin concentrations, enabling accurate quantification of oxy- and deoxy-hemoglobin distribution and providing three-dimensional tissue maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical classifiers and optical imaging systems are used for melanoma detection, then sensitivity is improved, but specificity deteriorates particularly in larger populations
Solution Approach 1:
The patent segments the optical measurement into multiple polarization modes (parallel and perpendicular) and multiple wavelengths, analyzing each component separately to extract specific tissue characteristics. This segmentation allows the system to maintain high sensitivity while improving specificity by examining distinct optical properties independently.
Solution Approach 2:
The patent adds polarization mode as an additional dimension to the optical measurement space. By measuring light reflection in both parallel and perpendicular polarization modes across multiple wavelengths, the system creates a more comprehensive characterization of tissue optical properties, enabling better differentiation between melanoma and benign lesions.
2Reliability
If blackbox statistical classification methods are used, then diagnostic capability is improved, but biological plausibility deteriorates
Solution Approach 1:
The patent measures and analyzes specific optical parameters (reflectance intensity, polarization degree, wavelength-dependent absorption) that have direct biological meaning. By tracking how these physical parameters change across different tissue types and depths, the system maintains diagnostic accuracy while providing biologically plausible results that clinicians can interpret.
Solution Approach 2:
The patent replaces the abstract statistical classification approach with a physics-based optical measurement system. Instead of using blackbox algorithms, the system uses measurable optical properties (absorption, scattering, polarization) that directly relate to tissue composition and structure, substituting statistical inference with physical measurement.
3Speed
If conventional optical imaging is used, then detection speed is improved, but depth information deteriorates
Solution Approach 1:
The patent uses multiple wavelengths of light, each penetrating to different depths in tissue. By systematically varying the wavelength and analyzing the corresponding reflectance and polarization changes, the system obtains depth-resolved information about tissue composition without requiring time-consuming sequential imaging at each depth.
Solution Approach 2:
The patent uses polarization state as an intermediary to probe tissue depth. By measuring how the polarization of reflected light changes with wavelength and tissue interaction, the system indirectly obtains depth information about melanin distribution and tissue structure, acting as a mediator between surface illumination and subsurface characterization.
4Device complexity
If single-wavelength or limited-spectrum imaging is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent employs a single optical system that performs multiple functions: measuring reflectance intensity, polarization degree, and wavelength-dependent absorption simultaneously. This multi-functional approach allows comprehensive tissue characterization without requiring separate devices for each measurement type, maintaining reasonable complexity while achieving high precision.
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
This approach enhances diagnostic specificity, reduces false positives, and provides biologically plausible measurements for melanoma detection, overcoming the limitations of existing methods by accurately distinguishing melanoma from benign lesions and correcting for melanin masking effects, especially in darker skin tones.
Implementation Method 1
illuminating tissue in vivo with multiple wavelengths light having at least two distinguishable polarization modes separating light remitted from said tissue in response to said illumination into at least two distinguishable polarization components
Implementation Method 2
forming at least two respective hyperspectral image sets from said at least two distinguishable polarization components and based on the spatial, spectral and polarization characteristics of the at least two respective image sets, determining at least one characteristic of said tissue
Data Source
AI summary
A surface of the tissue is illuminated with light having a known wavelength spectrum capable of materially penetrating the tissue. The light remitted from the tissue in response to the illumination is separated into at least two distinguishable polarization components. The intensity of the illumination light remitted from the tissue is measured over a hyperspectral range of wavelengths for the at least two distinguishable polarization components. Based on the preceding measurements and a degree of linear polarization of the remitted light, data representative of the three-dimensional location and one or more characteristics of an abnormal portion of the tissue are produced. Further, the masking effect of melanin may be eliminated to obtain accurate estimations of an anomaly.