Capsule Endoscope Real-Time Lesion Detection
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Solution Overview
Problem
The existing capsule endoscope systems require significant labor for doctors to diagnose large quantities of images, as they need to manually observe and analyze numerous frames picked up per second, leading to inefficient image processing and diagnosis.
Innovation Solution
An in-vivo image display apparatus and receiving apparatus system that includes an identification data generator to mark and recognize image data suspected of showing pathological lesions, allowing for real-time image processing and data transfer, enabling efficient image analysis and reduced diagnostic workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the capsule endoscope picks up images at a high rate (e.g., two frames per second), then the quantity of image data increases, but the diagnostic labor and time required by doctors increases significantly
Solution Approach 1:
The system performs preliminary image processing and pathological lesion identification inside the body cavity during the capsule endoscope's observation period. The image processing apparatus detects pathological lesions in real-time and transmits only the suspected abnormal images to the external work station, eliminating the need for doctors to manually review all images after the procedure.
Solution Approach 2:
The image processing apparatus automatically analyzes images for pathological lesions without requiring doctor intervention during the observation period. The system self-evaluates each frame, identifies potential abnormalities, and filters the data, performing the diagnostic function autonomously within the body cavity environment.
2Loss of information
If the capsule endoscope continuously transmits all picked-up images to the receiving apparatus, then complete image data is available, but the amount of data to be processed and stored increases significantly
Solution Approach 1:
The image processing apparatus extracts and separates only the images suspected of showing pathological lesions from the complete image sequence. By taking out only the abnormal frames for transmission to the work station, the system reduces data volume while maintaining diagnostic completeness, as all potential abnormalities are captured.
Solution Approach 2:
The system performs preliminary filtering of image data inside the body cavity by automatically detecting and separating abnormal images from normal ones. This preliminary action occurs during the observation period, so that when images are transmitted to the receiving apparatus, only the essential abnormal frames are included, reducing overall data quantity while preserving diagnostic information.
3Reliability
If the receiving apparatus stores all picked-up images in memory for later analysis, then complete diagnostic information is preserved, but the memory capacity required and processing burden increase significantly
Solution Approach 1:
The system extracts and transmits only the images suspected of showing pathological lesions to the receiving apparatus for storage and further analysis. This extraction is performed by the image processing apparatus inside the body cavity, which automatically identifies abnormal frames. As a result, the receiving apparatus stores only the essential abnormal images rather than all images, significantly reducing memory capacity requirements while maintaining diagnostic accuracy.
Solution Approach 2:
The image processing apparatus performs preliminary identification and separation of abnormal images during the observation period. This preliminary action filters the data before it reaches the receiving apparatus, so that the memory system only needs to store the reduced set of suspected abnormal images rather than the complete image sequence, reducing storage capacity requirements while preserving diagnostic reliability.
Data Source
AI summary
An object of the present invention is to alleviate an image diagnosing work in a work station or the like. In a viewer 7 for displaying, on a display unit 11, image data based on a radio signal transmitted from a capsule endoscope to be inserted into a subject, an image processing circuit 35 processes image data received from a receiving apparatus 5 via an interface 34, so as to produce an image processing result of the image data, and further, a control unit 38 displays the image and the image processing result on the display unit 11 in real time, so as to enable a body-cavity image to be observed with reference to the image processing result.