Multimodal Wound Imaging for Objective Tissue Assessment
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Solution Overview
Problem
Current wound assessment methods for diabetic wounds lack objective physiological and biochemical markers, leading to subjective treatment decisions and potential omission of significant wound development features, which can result in irreversible changes.
Innovation Solution
A non-invasive imaging system utilizing fluorescence, reflectance, scattering, and Raman imaging modes, combined with processing hardware and artificial intelligence, to assess biological tissues and identify attributes such as infection, collagen, and metabolic biomarkers, enabling precise wound evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard treatment protocols are used for diabetic wounds, then treatment can be provided, but objective physiological and biochemical markers are lacking leading to subjective treatment decisions
Solution Approach 1:
The system segments wound assessment into multiple independent measurement modes (fluorescence, reflectance, scattering, Raman) that can be performed separately and integrated. Each mode targets specific physiological and biochemical parameters, allowing comprehensive objective assessment without relying on subjective clinical impression alone.
Solution Approach 2:
The imaging system is designed to perform multiple functions using a single integrated platform. It can assess various wound parameters (infection, collagen, metabolic state, vascularity) simultaneously through different imaging modes, providing comprehensive objective data for treatment decisions.
2Measurement precision
If multiple imaging modes are used to assess wound parameters, then objective physiological and biochemical markers are obtained, but device complexity increases
Solution Approach 1:
The patent combines fluorescence, reflectance, scattering, and Raman imaging capabilities into a single integrated system. By merging these different imaging modes and their processing hardware into one device, the system achieves comprehensive wound assessment while managing complexity through unified architecture rather than separate devices.
Solution Approach 2:
The system uses processing hardware as an intermediary that receives data from multiple imaging modes and integrates the information. This intermediary component handles the complexity of processing multiple data streams and presenting unified wound assessment results, simplifying the user interface while maintaining measurement precision.
3Productivity
If subjective clinical impression is used for treatment selection, then treatment decisions can be made quickly, but significant wound development features may be omitted leading to irreversible changes
Solution Approach 1:
The system performs preliminary objective assessment of wound parameters (infection, collagen, metabolic biomarkers) before treatment decisions are made. By obtaining these measurements in advance, the system ensures that significant wound features are captured and considered, preventing omission of critical information that could lead to irreversible changes.
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
Provides objective assessment of wounds, allowing for accurate treatment selection and monitoring, reducing subjectivity and improving wound healing outcomes.
Implementation Method 1
an illumination hardware arrangement configured to inspect a biological tissue using at least two modes from a group of modes. The group of modes are a three dimensional stereo imaging mode; a fluorescence imaging mode
Implementation Method 2
a reflectance imaging mode
Implementation Method 3
a scattering imaging mode
Implementation Method 4
a Raman imaging mode
Data Source
AI summary
A system for assessing biological tissue is disclosed. The system contains an illumination hardware arrangement comprising transmission and sensing hardware, the illumination hardware arrangement configured to inspect a biological tissue using at least two modes from a group containing: a three dimensional stereo imaging mode; a fluorescence imaging mode; a reflectance imaging mode; and a thermal imaging mode; and processing hardware configured to operate the illumination hardware arrangement according to a protocol comprising inspection settings of the at least two modes, wherein the processing hardware receives scan results for the at least two modes from the illumination hardware arrangement and identifies attributes of the biological tissue by constructing a three dimensional dataset from the scan results for the at least two modes and analyzing the three dimensional dataset.