Endoscope Discrimination Control for Processor Load Reduction
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Solution Overview
Problem
Existing endoscope systems face challenges in performing real-time discrimination of specific features, such as lesions, due to high processing demands that overwhelm processor resources, complicating operations and placing an undue burden on users.
Innovation Solution
An endoscope system with a discrimination processing control unit that initiates and terminates discrimination processing based on changes in endoscope operations or image features, using threshold comparisons and illumination adjustments to optimize resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If discrimination processing is continuously executed to provide real-time diagnostic information, then diagnostic accuracy is improved, but processing load on the processor device increases excessively
Solution Approach 1:
The system performs discrimination processing periodically or at specific intervals rather than continuously. The processing is triggered by changes in observation targets or user operations, reducing overall processing load while maintaining diagnostic accuracy when needed.
Solution Approach 2:
The system automatically determines when discrimination processing should be executed based on changes in the endoscope image or observation target, without requiring continuous user input. This self-service mechanism optimizes processing timing to balance diagnostic needs with system resource constraints.
2Device complexity
If discrimination processing is executed on user request to reduce processing load, then processing load is reduced, but operational complexity increases
Solution Approach 1:
The system automatically detects when discrimination processing should be performed by monitoring changes in the endoscope image or observation target. This eliminates the need for users to manually control processing timing, reducing operational complexity while maintaining efficient resource usage.
Solution Approach 2:
The system continuously monitors the endoscope image and observation target for changes, using this feedback to automatically trigger discrimination processing when appropriate. This feedback mechanism simplifies user operation while ensuring processing occurs at diagnostically relevant moments.
3Loss of information
If discrimination processing is performed in real-time during observation, then diagnostic information availability is improved, but resource consumption of the processor device increases
Solution Approach 1:
The system executes discrimination processing periodically or event-driven rather than continuously during observation. Processing is triggered by specific events such as changes in the observation target or user operations, reducing processor resource consumption while maintaining timely information availability.
Solution Approach 2:
The system prepares by continuously monitoring for changes in the endoscope image or observation target, and only executes discrimination processing when predetermined conditions are met. This preliminary monitoring approach ensures diagnostic information is available when needed while minimizing unnecessary processing and resource consumption.
Data Source
AI summary
An endoscope system comprises an image acquisition unit, a discrimination processing unit, and a discrimination processing control unit. The image acquisition unit acquires an endoscope image obtained by imaging an observation target using an endoscope. The discrimination processing unit discriminates a portion having a specific feature in the observation target by performing discrimination processing, using an endoscope image. The discrimination processing control unit controls a start or an end of the discrimination processing on the basis of a change in operation of an endoscope or the endoscope image.