Hyperspectral Imaging for Tissue Oxygenation Assessment

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Solution Overview

Problem

Current diagnostic methods for diabetic foot disease and peripheral vascular disease are inadequate, as they are highly subjective, lack spatial variability assessment, and fail to accurately predict ulcer development or therapeutic efficacy.

Innovation Solution

A medical instrument employing hyperspectral imaging technology, including a first-stage optic, spectral separator, polarizers, imaging sensor, diagnostic processor, and filter control interface, to assess tissue metabolic states by preprocessing hyperspectral information, defining regions of interest, and displaying pseudo-color images that characterize tissue health and healing potential.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional diagnostic methods (visual inspection, palpation) are used, then the examination process is simple and quick, but the diagnostic accuracy and objectivity are highly subjective and unreliable

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidexamination system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces subjective mechanical examination methods (visual inspection, palpation) with objective optical measurement systems. Hyperspectral imaging captures spectral signatures across multiple wavelengths, transforming qualitative clinical assessment into quantitative spectral data that can be objectively analyzed for tissue oxygenation, metabolism, and ulcer risk prediction.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces spectral analysis as an intermediary between the tissue and the diagnostic conclusion. Rather than directly observing tissue appearance, the system measures spectral reflectance patterns at multiple wavelengths, which serve as intermediaries revealing metabolic state and oxygenation levels that are invisible to the naked eye.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If traditional methods are used, then the equipment is simple and easy to operate, but the ability to assess spatial variability of tissue conditions is insufficient

Engineering Contradiction:
Improvespatial variability assessmentVSAvoidimaging system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent adds spectral dimensionality to the traditional two-dimensional visual inspection. By measuring reflectance across multiple wavelengths (spectral dimension), the system creates a three-dimensional characterization of tissue (spatial x, spatial y, and spectral wavelength), enabling detection of subtle metabolic variations that uniform appearance would mask.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent segments the tissue examination into multiple spectral bands, each sensitive to different physiological parameters. By analyzing reflectance patterns across distinct wavelength ranges, the system can spatially map and differentiate various tissue conditions (oxygenated vs. deoxygenated regions, metabolically active vs. inactive areas) within the field of view.

Inventive Principle:
Principle #1Segmentation

3Reliability

If current diagnostic techniques are used, then the cost and time investment are low, but the ability to predict ulcer development and monitor healing is inaccurate

Engineering Contradiction:
Improveulcer risk prediction accuracyVSAvoiddiagnostic time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary spectral characterization of tissue to predict future ulcer development before clinical signs appear. By measuring metabolic parameters and oxygenation levels in advance, the system identifies at-risk areas that would otherwise remain undetected, enabling preventive intervention before ulceration occurs.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent establishes a feedback loop for monitoring wound healing by repeatedly measuring spectral parameters over time. The system compares spectral signatures across multiple time points, providing feedback on healing progression or deterioration, and adjusts treatment strategies based on objective metabolic response rather than subjective visual assessment.

Inventive Principle:
Principle #23Feedback

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 provides accurate, spatially relevant data on tissue oxygenation and metabolism, enabling early detection of ulcer risk, monitoring of wound healing, and assessment of disease progression, surpassing the limitations of existing diagnostic techniques.

Implementation Method 1

The imaging sensor is optically responsive to the spectral separator

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 2

a spectral separator, one or more polarizers, an imaging sensor

Methodology Applied
Scientific EffectSpectral separation: Diffraction Grating

Implementation Method 3

a spectral separator, one or more polarizers, an imaging sensor

Methodology Applied
Scientific EffectPolarization: Polarisation

Data Source

PatentUS10321869B2Systems and methods for combining hyperspectral images with color images
Publication Date: 2019.06.18 HYPERMED IMAGING INC
  • US10321869B2 patent drawing
  • US10321869B2 patent drawing
  • US10321869B2 patent drawing

AI summary

The invention is directed to methods and systems of hyperspectral and multispectral imaging of medical tissues. In particular, the invention is directed to new devices, tools and processes for the detection and evaluation of diseases and disorders such as, but not limited to diabetes and peripheral vascular disease and cancer, that incorporate hyperspectral or multispectral imaging.