Endoscope Processor Oxygen Saturation Diagnostic Information
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Solution Overview
Problem
Current endoscope systems for diagnosing lesions using oxygen saturation of blood hemoglobin require skilled interpretation, as pseudo-color and numerical displays of oxygen saturation can be subjective and vary significantly between individuals, making it difficult to distinguish between normal tissue and lesions like cancer.
Innovation Solution
An endoscope system processor device that calculates oxygen saturation and generates objective diagnostic information by specifying out-of-range pixels, calculating average oxygen saturation values, and determining a difference value between normal and abnormal regions, providing a numerical indicator that is easier to understand and interpret.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pseudo-color display of oxygen saturation is performed using uniform criteria, then the display method is simple and easy to implement, but the diagnostic accuracy decreases due to individual differences in oxygen saturation ranges
Solution Approach 1:
The system performs preliminary measurement of oxygen saturation in normal tissue regions before diagnosing lesions. By first identifying normal tissue and measuring its oxygen saturation range, the system establishes subject-specific reference values that account for individual differences, thereby improving diagnostic accuracy without complicating the overall process
Solution Approach 2:
The system introduces normal tissue oxygen saturation measurements as an intermediary reference. This intermediary serves as a baseline to compare against lesion regions, allowing the system to objectively identify abnormalities while adapting to individual subject characteristics, thus resolving the contradiction between simplicity and accuracy
2Reliability
If numerical display of oxygen saturation is performed, then objective data is provided, but the data requires skilled interpretation and is not easily understood by doctors
Solution Approach 1:
The system transforms the oxygen saturation parameter from absolute values to relative difference values. By calculating the difference between normal tissue oxygen saturation and lesion region oxygen saturation, the system converts complex numerical data into an intuitive metric that directly indicates abnormality magnitude, making it easier for doctors to interpret while maintaining objectivity
Solution Approach 2:
The system segments the oxygen saturation data into distinct components: normal tissue baseline and lesion region deviation. This segmentation allows the presentation of both objective numerical data and an simplified difference metric, serving different user needs simultaneously without sacrificing either objectivity or ease of interpretation
3Adaptability or versatility
If the oxygen saturation range for normal tissue is used as a fixed reference, then the diagnostic criteria are uniform and easy to apply, but the wide variation in normal ranges across different subjects reduces diagnostic reliability
Solution Approach 1:
The system implements dynamic reference values that adapt to each subject's normal tissue characteristics. Instead of using fixed universal thresholds, the system automatically determines subject-specific normal oxygen saturation ranges through preliminary measurement, thereby maintaining diagnostic criterion uniformity in methodology while achieving reliability through individualization
Solution Approach 2:
The system performs self-calibration by automatically measuring and establishing normal tissue oxygen saturation ranges for each subject without requiring external reference data or manual calibration. This self-service approach ensures both uniform application of the diagnostic method and high reliability through subject-specific adaptation
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
The system provides objective diagnostic information that is easier to understand and interpret, reducing the subjectivity in diagnosing lesions by presenting a numerical value that indicates the lowness of oxygen saturation in relation to normal tissue, thereby aiding in the identification of potential lesions.
Implementation Method 1
first signal light and second signal light having different waveguide bands and different light absorption coefficients for oxygenated hemoglobin and reduced hemoglobin
Data Source
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AI summary
There are provided an endoscope system processor device, an endoscope system, an operation method for an endoscope system processor device, and an operation method for an endoscope system for calculating objective diagnostic information, which is easier to understand than the oxygen saturation, based on the oxygen saturation. The endoscope system processor device includes: a receiving unit that receives an image signal obtained by imaging an observation target with an endoscope; an oxygen saturation calculation unit that calculates an oxygen saturation based on the image signal; a pixel specification unit that specifies an out-of-range pixel in which the oxygen saturation deviates from a specific range set in advance; and a diagnostic information calculation unit that calculates diagnostic information as a numerical value using information of the out-of-range pixel.