Endoscopic Lesion Markers Adapted to Operator Fatigue Risk
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Solution Overview
Problem
Endoscopic image processing systems face challenges in accurately detecting and highlighting lesioned parts due to changes in the relative positions of objects within the body cavity and the endoscope insertion section, leading to potential overlooking of lesioned parts, especially when users are fatigued or less attentive.
Innovation Solution
An image processing apparatus that estimates the risk of endoscopy quality deterioration based on user fatigue and experience, adjusting the notification form of lesioned part candidates to prevent overlooking, using methods such as altering the display form and duration of detection markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a marker such as a frame is applied to highlight a lesioned part detected from an endoscopic image, then the surgeon can prevent overlooking the lesioned part, but it is difficult to correctly detect a once-detected lesioned part in all frames due to changing relative positions of objects and the endoscope insertion section
Solution Approach 1:
The notification form dynamically adapts based on the estimated deterioration risk. When risk is high (user fatigue detected), the system enhances notification intensity (e.g., more prominent markers, repeated alerts). When risk is low, it uses standard notification. This dynamic adjustment resolves the contradiction by making the detection system adaptable to changing user states while maintaining reliable lesion detection.
Solution Approach 2:
The system changes the parameters of the notification form (intensity, frequency, type of marker) based on the estimated deterioration risk. By adjusting these parameters according to user fatigue level and detection confidence, the system maintains effective lesion highlighting while adapting to varying operational conditions.
2Reliability
If the display intensity is temporally changed based on a display period to prevent overlooking of the lesioned part candidate region, then the lesioned part can be highlighted, but the user may experience sleepiness or fatigue from continuous monitoring
Solution Approach 1:
The system implements feedback by estimating the deterioration risk based on monitoring data (user fatigue indicators) and adjusting the notification form accordingly. This closed-loop control allows the system to respond to user fatigue by modifying notification intensity, thereby maintaining detection reliability while reducing harmful effects of excessive or inappropriate notifications on user well-being.
Solution Approach 2:
The notification form is dynamically adjusted based on real-time estimation of deterioration risk. When user fatigue is detected, the system adapts by changing notification characteristics (e.g., making markers more prominent or adjusting timing), thus maintaining effective lesion detection while accounting for the user's physiological state and reducing overall fatigue burden.
3Measurement precision
If the notification form is adjusted based on user fatigue level and experience, then the accuracy of detecting lesioned parts is enhanced, but the system complexity increases due to multiple parameters to monitor and adjust
Solution Approach 1:
The system performs preliminary estimation of the deterioration risk by analyzing user fatigue level and experience before adjusting the notification form. This advance preparation allows the system to have detection accuracy optimized for each user state without adding complex real-time adjustment mechanisms during lesion detection, thereby managing system complexity while maintaining high precision.
Data Source
AI summary
An image processing apparatus includes a processor. The processor receives an observation image of a subject or the observation image and system information, detects a lesioned part candidate from the observation image, estimates a deterioration risk of endoscopy quality from the observation image or the system information, controls a notification form of the lesioned part candidate from an estimation result of the deterioration risk, and notifies the lesioned part candidate according to the control of the notification form.