Endoscope Processor Aggregating Polyp Counts by Intestinal Part
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Solution Overview
Problem
Existing endoscope processing systems fail to aggregate and output the number of lesions, such as polyps, for each examination part during endoscopic examinations, limiting the comprehensive reporting of findings.
Innovation Solution
An endoscope processor equipped with an image acquisition unit, part identification unit, polyp extraction unit, and aggregation unit that identifies and aggregates the number of polyps for each part in the large intestine, enabling the output of both endoscope images and aggregation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a report is created by automatically linking a lesion in a sketch diagram of an examination part and the endoscopic observation image of the lesion, then the time required for report creation is shortened and work load is reduced, but the aggregation result of the lesion (for example, a polyp, etc.) is not included in the report
Solution Approach 1:
The patent segments the reporting process into distinct functional modules: a sketch diagram generation unit that creates visual representations of examination parts, a lesion detection unit that identifies polyps, and an aggregation unit that collects lesion data. By segmenting these functions, the system can generate reports efficiently while ensuring lesion aggregation results are captured and included, resolving the contradiction between report creation speed and information completeness.
Solution Approach 2:
The patent merges multiple data sources and processing functions into an integrated report generation system. The sketch diagram unit, lesion detection unit, and aggregation unit are combined to work together, allowing the system to simultaneously produce visual sketches, detect lesions, aggregate lesion results, and generate comprehensive reports. This merging ensures that lesion aggregation information is not lost while maintaining efficient report creation.
2Measurement precision
If the number of polyps is manually counted and recorded for each part in the large intestine, then accurate polyp data is obtained, but the time required for examination and reporting increases significantly
Solution Approach 1:
The patent replaces the manual mechanical process of counting and recording polyps with an automated image processing system. The sketch diagram generation unit creates visual representations of the examination parts, and the lesion detection unit automatically identifies and counts polyps using image analysis algorithms. This substitution of manual mechanical counting with automated mechanical/image processing systems maintains counting accuracy while dramatically reducing examination and reporting time.
Solution Approach 2:
The system enables self-service automated polyp detection and counting through the lesion detection unit, which automatically analyzes endoscopic images, identifies polyps, and records their positions and numbers. The aggregation unit then automatically compiles this data without requiring manual intervention, allowing the system to perform polyp counting and reporting functions autonomously, thus maintaining accuracy while reducing time consumption.
Data Source
AI summary
To provide an endoscope processor (2) and the like that can output the aggregation results of lesions for each examination part. The endoscope processor (2) according to one aspect includes an image acquisition unit that acquires a captured image from a large-intestine endoscope (1), a part identification unit that identifies a part in a large intestine based on the captured image acquired by the image acquisition unit, a polyp extraction unit that extracts a polyp from the captured image, an aggregation unit that aggregates the number of polyps for each part identified by the part identification unit, and an output unit that outputs an endoscope image based on the captured image and an aggregation result aggregated by the aggregation unit.