Endoscope Processor Defers Abnormality Detection to Reduce Load
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Solution Overview
Problem
Existing endoscope systems face significant processing loads during examinations due to the need to detect abnormalities and store endoscopic images, which can lead to inefficient maintenance and potential misidentification of issues that require advanced repair.
Innovation Solution
Implementing a processor configuration that separates the processing of detecting lesions and abnormalities, where lesion detection occurs during the examination and abnormality detection occurs post-examination, with images stored temporarily during use and finalized after the examination, reducing processing load and preventing excessive maintenance requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If abnormality detection and lesion detection processing are performed during endoscopic examination, then comprehensive diagnostic capability is improved, but processing load increases significantly
Solution Approach 1:
The patent segments the abnormality detection process into two distinct phases: (1) during the endoscopic examination, the processor performs only lesion detection on thinned-out images to maintain low processing load, and (2) after the examination ends, the processor performs comprehensive abnormality detection on all stored images. This temporal segmentation allows comprehensive diagnostics while avoiding excessive processing load during the examination procedure.
2Measurement precision
If all endoscopic images are stored for abnormality detection during examination, then detection accuracy is improved, but storage requirements and processing time increase
Solution Approach 1:
The patent applies preliminary action by storing all endoscopic images in the second storage device during the examination procedure. This pre-storage of images enables the processor to perform comprehensive abnormality detection after the examination without time constraints, ensuring high detection accuracy while avoiding time pressure during the critical examination phase.
3Reliability
If lesion detection is performed on all endoscopic images, then detection completeness is improved, but processing speed decreases
Solution Approach 1:
The patent applies partial action during the examination by performing lesion detection only on thinned-out images (a subset of all images), which maintains acceptable detection completeness while significantly improving processing speed. After the examination, when time is no longer constrained, the system performs complete lesion detection on all images to ensure maximum completeness.
Data Source
AI summary
An endoscope system includes an endoscope and a processor device. The processor device functions as a lesion detection unit and an abnormality detection unit. The lesion detection unit analyzes an image captured by the endoscope to detect a lesion part and displays a detection result on a display. The abnormality detection unit analyzes the image captured by the endoscope to detect an abnormality, and stores the image in which the abnormality has been detected in a final storage unit after an endoscopic examination end.