Endoscope Processor Baseline Calculation for Index Accuracy
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Solution Overview
Problem
Existing endoscope systems face challenges in accurately calculating index values due to factors like residual liquids and unexpected light scattering or absorbing characteristics, leading to inaccurate calculations in certain regions.
Innovation Solution
An endoscope system with a processor device that calculates baseline information about light scattering and absorbing characteristics, sets accurate calculation regions, and excludes regions with residual liquids or unexpected characteristics to improve index value calculation reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only the region to which the residual liquid or the like is attached is excluded from the target for calculating the index value, then the reliability of the calculated index value is improved, but the calculation accuracy cannot be ensured in other regions with unexpected light scattering or absorbing characteristics
Solution Approach 1:
The patent divides the endoscope image into multiple regions and calculates baseline information for each region separately. By segmenting the image and evaluating each region's light scattering and absorbing characteristics independently, the system can identify and exclude only the specific regions with abnormal characteristics while maintaining accurate index value calculation in normal regions.
Solution Approach 2:
The patent introduces baseline information as a new parameter to evaluate light scattering and absorbing characteristics. By calculating and comparing baseline information across different regions, the system can dynamically identify regions with unexpected characteristics and adjust the calculation target accordingly, thus improving both reliability and accuracy.
2Measurement precision
If baseline information calculation and region setting processing are added to the endoscope system, then the accuracy of identifying calculation regions is improved, but the device complexity increases
Solution Approach 1:
The patent performs baseline information calculation in advance before the actual index value calculation. By pre-calculating and storing baseline information for each region, the system prepares the necessary data beforehand, which simplifies the subsequent region identification process and reduces real-time processing complexity.
Solution Approach 2:
The system uses the endoscope image itself to calculate baseline information and identify abnormal regions, without requiring additional external devices or complex processing systems. The image data serves multiple purposes: both for baseline calculation and for final index value computation, reducing overall system complexity.
Data Source
AI summary
An endoscope system 10 includes: an image acquiring unit 54 that acquires an endoscope image obtained by imaging an observation target; a baseline information calculating unit 82 that calculates baseline information (operation value “Z”) by using the endoscope image, the baseline information being information about light scattering characteristics or light absorbing characteristics of the observation target and information that is at least not dependent on particular biological information; a region setting unit 83 that sets, by using the baseline information, a calculation region in which the index value is to be calculated, the index value indicating a state of the observation target; and an index value calculating unit 84 that calculates the index value in the calculation region set by the region setting unit 83, by using the endoscope image.