Endoscope Still Image Capture During Playback
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Solution Overview
Problem
Current endoscope systems lack an efficient method to generate and record still image data during endoscopic examinations, requiring operators to capture still images manually, which can be time-consuming and may result in suboptimal image quality, and there is a need for improved playback and annotation of recorded moving image data for diagnostic purposes.
Innovation Solution
An image playback apparatus and computer-readable medium that allow for the generation of still image data during playback of moving image data, with the ability to record these still images in association with the corresponding moving image data and playback position information, including visual markers for release signal timing, enabling efficient retrieval and review of critical frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If still images are captured manually during endoscopic examination, then still image data can be obtained, but the process is time-consuming and may result in suboptimal image quality
Solution Approach 1:
The system automatically captures still images at predetermined timings (e.g., when abnormalities are detected or at interval timings) without requiring manual operator intervention. This preliminary automation of the capture decision process eliminates the time-consuming manual operation while ensuring critical moments are captured.
Solution Approach 2:
The endoscope system performs self-service by automatically determining when to capture still images based on predetermined conditions such as abnormality detection or time intervals. The system serves itself by making capture decisions without external human input, improving efficiency and consistency.
2Manufacturing precision
If still images are captured manually during endoscopic examination, then still image data can be obtained, but image quality may be suboptimal
Solution Approach 1:
The system uses feedback from abnormality detection results to automatically trigger still image capture. When the abnormality detection unit identifies a suspicious region, the system automatically captures a still image at that moment, ensuring high-quality images are obtained at critical moments without relying on manual operator judgment.
Solution Approach 2:
The manual mechanical operation of pressing a capture button is replaced by an automated electronic system that detects abnormalities and triggers capture automatically. This substitution eliminates human error and ensures consistent, high-quality image capture timing.
3Loss of information
If release signal input timing is marked during playback, then critical frames can be identified, but the display complexity increases
Solution Approach 1:
The system uses color changes or different display modes for marks indicating release signal timing during playback. By visually distinguishing these marks through color or display mode variations, the system effectively communicates critical timing information without requiring complex interface elements or additional hardware.
Data Source
AI summary
An image playback apparatus includes: a moving image processing unit configured to generate playback-oriented moving image data from moving image data as a playback target, among moving image data recorded on a recording device; a display controller configured to play back, on a display device, the playback-oriented moving image data generated by the moving image processing unit; a release instruction input unit configured to receive input of a release signal during playback of the playback-oriented moving image data; a still image generation unit configured to generate, from the moving image data, still image data that correspond to a playback image being played back on the display device at a time of input of the release signal; and a recording controller configured to record, on the recording device, the still image data generated by the still image generation unit, in association with the moving image data.