Endoscope Image Processing Lesion Detection Speed Analysis
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Solution Overview
Problem
Conventional endoscope image processing devices face challenges in providing effective diagnosis support without obstructing the user's observation, as highlighting displays can interfere even when the user is already aware of the lesion part, and existing systems fail to analyze the endoscope's operation state to adjust support actions accordingly.
Innovation Solution
An image processing device that analyzes the withdrawing speed of the endoscope and its operation state to detect lesion parts and provide targeted diagnosis support, adjusting the display of support information based on the analysis to prevent obstruction and ensure effective observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a highlighting display is performed on a lesion part, then the user can be prevented from overlooking the lesion part, but the highlighting display may obstruct the user's observation when the user is already aware of the lesion part
Solution Approach 1:
The patent applies dynamics by making the highlighting display conditional and adjustable based on real-time analysis of endoscope operation state. The system dynamically changes the display behavior from static always-on highlighting to adaptive highlighting that responds to withdrawal speed and operation patterns, resolving the contradiction between ensuring lesion detection and avoiding observation obstruction.
Solution Approach 2:
The patent changes the parameter of highlighting display activation from a fixed condition to a variable condition based on withdrawal speed analysis. By analyzing the derivative of withdrawal speed over time and comparing it against thresholds, the system adjusts whether to perform highlighting display, thereby optimizing both lesion detection reliability and minimizing observation obstruction.
2Measurement precision
If a highlighting display is performed on a large-sized lesion part, then the lesion part can be detected, but the highlighting display becomes unnecessary and obstructive since the user can already recognize it
Solution Approach 1:
The patent implements feedback by analyzing the endoscope's withdrawal speed pattern and using this information to control the highlighting display. The system continuously monitors withdrawal speed, calculates its derivative, and uses this feedback to determine whether to activate highlighting, thereby avoiding redundant displays for easily detectable large lesions while maintaining displays for subtle lesions that need emphasis.
Solution Approach 2:
The patent applies partial action by selectively applying highlighting display only when necessary based on withdrawal speed analysis. Instead of always performing highlighting display regardless of lesion characteristics or operation state, the system performs highlighting only for lesions that benefit from it, reducing information loss and avoiding unnecessary obstructions.
3Productivity
If the endoscope withdraws quickly, then the examination efficiency is improved, but the diagnosis support function may not detect lesion parts accurately due to the fast movement
Solution Approach 1:
The patent applies preliminary action by analyzing the withdrawal speed pattern before making the diagnosis support decision. The system calculates the derivative of withdrawal speed in advance and compares it against predetermined thresholds, allowing it to proactively adjust highlighting display settings before potentially missing a lesion, thereby maintaining both examination efficiency and detection precision.
Solution Approach 2:
The patent implements preliminary anti-action by preparing to counteract the negative effects of fast withdrawal through pre-calculated speed derivatives and threshold comparisons. When rapid withdrawal is detected, the system is ready to adjust highlighting parameters or trigger additional analysis to compensate for the reduced detection accuracy, thus maintaining lesion detection precision despite high productivity.
Data Source
AI summary
An image processing device for an endoscope includes a processor. The processor receives, as input, a generated image acquired by performing predetermined processing on an image pickup signal acquired by an endoscope, analyzes a withdrawing speed of the endoscope based on at least one of the generated image and information relating to an operation state of the endoscope, detects a lesion part from the generated image, performs a diagnosis support action on the lesion part, decides a factor affecting the diagnosis support action based on an analysis result of the withdrawing speed, and outputs the factor.