Endoscopic Image Processing for Adaptive Lesion Notification
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Solution Overview
Problem
Endoscopic image processing systems struggle to accurately detect and highlight lesioned parts due to changing relative positions of objects in 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 by optimizing display or audio notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If markers are applied to highlight lesioned parts in endoscopic images, then detection accuracy of lesioned parts is improved, but reliability of continuous detection deteriorates due to changing relative positions between objects and endoscope insertion section
Solution Approach 1:
The system performs preliminary detection of lesioned parts in previous frames and stores this information. Before displaying markers in current frames, the system predicts the current positions of previously detected lesioned parts based on motion estimation, and performs preliminary verification to determine whether markers should be displayed. This preliminary action ensures continuous reliable detection even when relative positions change between frames.
2Reliability
If display intensity is temporarily changed based on display period to prevent overlooking, then notification effectiveness is improved, but user fatigue increases due to continuous monitoring requirements
Solution Approach 1:
The system implements periodic display of markers for previously detected lesioned parts at predetermined intervals during endoscopic observation. This periodic action maintains notification effectiveness by regularly reminding users of important findings while reducing continuous monitoring requirements, thereby decreasing user fatigue compared to constant marker display.
3Reliability
If multiple notification methods are used to ensure accurate detection, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The system uses feedback from previous frame detections to inform current frame marker display decisions. By storing detection results from previous frames and using motion estimation to predict current positions, the system creates a feedback loop that improves detection reliability without requiring complex multiple notification methods, as the same marker mechanism is used across frames with intelligent timing control.
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.