Optical Sensor Calibration for Anatomical Spectral Identification
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Solution Overview
Problem
Conventional medical scope systems struggle with accurately identifying the composition of anatomical targets during procedures due to the influence of illumination sources and optical components, requiring extensive reference libraries for spectral analysis.
Innovation Solution
A composition identification system utilizing a wide-spectrum illumination source and optics to normalize spectral effects, adjusting optical sensor conditions based on a reference target, allowing for timely and accurate identification of anatomical targets through a smaller reference library.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional medical scope systems use standard illumination sources and optical components, then the system structure is simple, but the spectral analysis accuracy is compromised due to uncorrected spectral distortions
Solution Approach 1:
The system performs preliminary calibration by capturing an image of a reference target with known spectral properties before analyzing the anatomical target. This preliminary action establishes a baseline that accounts for illumination source spectrum and optical component transmission characteristics, enabling accurate spectral analysis without requiring complex real-time corrections during the procedure
Solution Approach 2:
A reference target with known spectral characteristics is introduced as an intermediary element between the illumination source and the anatomical target analysis. This reference target serves as a mediator that captures the combined effect of illumination and optical components, allowing the system to mathematically separate and compensate for these effects when analyzing the actual target
2Measurement precision
If the system captures spectral information across a wide range of wavelengths, then the composition identification accuracy improves, but the exposure time or signal quality may be compromised at certain wavelengths
Solution Approach 1:
The system captures a preliminary image to measure the actual spectral intensity at each wavelength, then uses this feedback information to calculate optimal exposure times or gain settings for subsequent images. This feedback loop allows the system to adapt exposure parameters based on the specific illumination and optical characteristics, ensuring adequate signal quality across all wavelengths without requiring excessive exposure time
Solution Approach 2:
The system dynamically adjusts exposure time or sensor gain parameters based on the measured spectral characteristics from the reference target. By changing these parameters adaptively rather than using fixed settings, the system optimizes signal quality across the entire spectral range while minimizing total exposure time
3Reliability
If the system uses extensive reference libraries for spectral analysis, then the composition identification reliability improves, but the processing time and system complexity increase
Solution Approach 1:
The system extracts and removes the spectral characteristics of the illumination source and optical components from the overall spectral measurement by using the reference target. This extraction process isolates the target's intrinsic spectral signature from system-induced distortions, enabling reliable composition identification with a more streamlined reference library that focuses on tissue compositions rather than system-specific spectral patterns
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
Enables more precise and efficient identification of anatomical targets by compensating for spectral distortions caused by illumination and optics, reducing the need for extensive reference data and enhancing procedural efficiency.
Implementation Method 1
receiving light at an optical sensor of the optical sensor system from a reference target, determining a first spectral response of the light across a range of wavelengths
Data Source
AI summary
Techniques for calibrating an optical sensor system of a composition identification system are provided. In an example, a method can include receiving light at an optical sensor of the optical sensor system from a reference target, determining a first spectral response of the light across a range of wavelengths, determining whether a first spectral intensity corresponding to a first wavelength of the spectral response violates a first threshold, adjust an exposure duration or gain of the optical sensor for the first wavelength to correct the violation, and repeat for multiple wavelengths in the range. Once calibrated, the optical system can more efficiently identify composition of targets, such as anatomical targets encountered during medical procedures such as during endoscopy, laparoscopy, or ureteroscopy procedures, especially when such targets are illuminated with a wide spectrum illumination source.