Hyperspectral SFDI Imaging for 3D Tissue Property Analysis
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Solution Overview
Problem
Current clinical imaging systems lack the capability to provide timely, accurate, and quantitative 3D structural, functional, and spectroscopic information for early detection and diagnosis of tissue conditions such as gingivitis, periodontal disease, and dry skin, as they are unable to measure critical parameters like oxygen saturation, hydration, and collagen density.
Innovation Solution
A device combining snapshot hyperspectral imaging with spatial frequency domain imaging (SFDI) and triangulation/computational overlap, utilizing a hyperspectral camera and structured illumination, to capture and process data for 3D non-invasive in vivo spectral imaging of tissues, enabling the determination of tissue properties and generation of 2D or 3D spatial visual representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current clinical imaging systems are used, then imaging capability is provided, but they lack the capability to provide timely, accurate, and quantitative 3D structural, functional, and spectroscopic information
Solution Approach 1:
The patent combines hyperspectral imaging (providing spectroscopic information) with spatial frequency domain imaging (providing quantitative functional information) into a single integrated system. This merging allows simultaneous acquisition of multiple tissue properties including oxygen saturation, hydration, and collagen density, resolving the contradiction between measurement precision and adaptability by enabling comprehensive quantitative analysis across multiple dimensions.
Solution Approach 2:
The imaging system is designed to perform multiple functions: capturing structural information, functional information, and spectroscopic information from tissue samples. By making the system universal capable of detecting various tissue properties through different imaging modalities, it achieves both high measurement precision for specific parameters and broad adaptability for different tissue conditions.
2Measurement precision
If comprehensive tissue information is acquired, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the imaging process into distinct functional components: hyperspectral imaging for spectroscopic analysis, spatial frequency domain imaging for quantitative functional measurement, and computational processing for data integration. By dividing the complex task of comprehensive tissue characterization into separate modular components, the system achieves high measurement precision while managing device complexity through functional segmentation.
Solution Approach 2:
The patent introduces computational processing as an intermediary that integrates data from multiple imaging modalities. This computational layer processes and combines information from hyperspectral and spatial frequency domain imaging, enabling accurate tissue property determination without requiring direct physical integration of all sensing functions into a single complex hardware unit.
3Productivity
If rapid tissue assessment is performed, then early detection capability is improved, but measurement comprehensiveness may be reduced
Solution Approach 1:
The system performs preliminary action by using spatial frequency domain imaging to rapidly assess overall tissue functional properties before detailed spectroscopic analysis. This preliminary assessment provides quick functional information that guides subsequent more time-consuming but precise spectroscopic measurements, enabling both rapid screening and accurate quantification.
Solution Approach 2:
The patent implements continuous useful action by simultaneously acquiring multiple types of tissue information through parallel imaging modalities rather than sequential measurement. The hyperspectral and spatial frequency domain imaging occur in an integrated manner, maintaining continuous data acquisition across different tissue property dimensions, thus achieving both speed and comprehensiveness.
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 allows for the simultaneous acquisition of multi-dimensional tissue information, enabling automated product recommendations based on tissue zone scoring and providing quantitative diagnostics for tissue health, thereby aiding in early detection and monitoring of tissue conditions.
Implementation Method 1
The imaging device may comprise a light emitting projector
Implementation Method 2
control a capture of hyperspectral fluorescence image data of the tissue sample
Data Source
AI summary
Technologies are disclosed for an imaging device that may indicate at least one property of a tissue sample. The device may project light on the tissue sample. The device may control a capture of hyperspectral fluorescence image data of the tissue sample. The device may control a capture of spatial frequency domain imaging (SFDI) image data of the tissue sample. The device may process a first computational overlap of the hyperspectral fluorescence image data and the SFDI image data. The device may determine one or more properties of the first location of the tissue sample based on the first computational overlap of the hyperspectral fluorescence image data and the SFDI image data. The device may generate a 2D or a 3D spatial visual representation of the first location of the tissue sample based on the first computational overlap of the hyperspectral fluorescence image data and the SFDI image data.