Medical Imaging Device Scattering Coefficient Analysis
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Solution Overview
Problem
Current medical imaging techniques face challenges in effectively generating diagnostic images that accurately reflect the relative amplitude scattering coefficient of biological tissues, which is crucial for identifying tissue anomalies indicative of pathologies.
Innovation Solution
A method and device that acquire and merge pixelated monochromatic images of biological tissues at different wavelengths to calculate the relative amplitude scattering coefficient, enabling the generation of diagnostically useful images by identifying pixels indicative of tissue properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional single-wavelength imaging is used, then the imaging process is simple, but the ability to identify tissue anomalies indicative of pathologies is limited
Solution Approach 1:
The patent segments the imaging process by acquiring images at multiple discrete wavelengths separately, then processing them individually to calculate scattering coefficients. This segmentation allows precise measurement of tissue optical properties at each wavelength, improving detection accuracy while maintaining manageable system complexity through modular processing steps.
Solution Approach 2:
The patent adds the wavelength dimension to conventional imaging by capturing images across multiple wavelengths rather than a single wavelength. This dimensional expansion enables calculation of relative amplitude scattering coefficients that reveal tissue anomalies, transforming standard intensity images into diagnostic scattering maps without requiring fundamentally new imaging hardware.
2Measurement precision
If multiple wavelengths are used to calculate scattering coefficients, then diagnostic accuracy improves, but image acquisition time increases
Solution Approach 1:
The patent performs preliminary actions by acquiring all necessary multi-wavelength images first, then processes them together to calculate scattering coefficients in a subsequent step. This separation of data collection from computation allows efficient batch processing of multiple wavelengths, reducing the time penalty of multi-wavelength imaging while maintaining diagnostic accuracy.
Solution Approach 2:
The patent maintains continuity of useful action by using all acquired wavelength data simultaneously in the scattering coefficient calculation rather than processing wavelengths sequentially. This continuous utilization of multi-wavelength information maximizes diagnostic value from each acquisition cycle, minimizing redundant measurements and reducing overall acquisition time.
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 creation of diagnostic images that can help identify anomalous scattering properties in tissues, potentially indicating pathologies like tumors, by calculating the relative amplitude scattering coefficient through pixel value ratios and wavelength differences.
Implementation Method 1
calculating a value for a third pixel in the diagnostic image from a value of the first pixel and a value of the second pixel, the value for the third pixel being indicative of the relative amplitude scattering coefficient of tissue underlying the surface
Data Source
AI summary
Disclosed are methods and devices suitable for providing diagnostic images. In some embodiments, an imaging device suitable for use with a medical imaging device such as an endoscope is disclosed. In some embodiments, a diagnostic image and a method of making such a diagnostic image is provided.