Body Imaging Abnormality Detection with Multi-Region Visual Feedback
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Solution Overview
Problem
The quality of examinations using body imaging is inconsistent due to the dynamic nature of camera observation within the body, leading to potential missed abnormalities and varying detection rates among physicians.
Innovation Solution
An information processing apparatus that detects abnormal regions within body images and generates output information based on the number of detected abnormalities, enhancing visualization through thickness changes in frames or highlighting to indicate multiple detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is moved inside the body to perform examination, then the ability to observe internal structures is improved, but the consistency and reliability of abnormality detection deteriorates due to dynamic observation conditions
Solution Approach 1:
The system performs preliminary detection of abnormal regions in each captured image frame before final interpretation. By pre-identifying potential abnormalities and tracking them across multiple frames, the system ensures consistent detection regardless of camera movement dynamics
Solution Approach 2:
The system provides feedback by displaying detected abnormal regions with visual markers (frames, highlights) and numerical counts to the physician. This feedback mechanism helps maintain observation consistency by continuously guiding the physician's attention to detected abnormalities throughout the dynamic examination process
2Loss of information
If multiple abnormal regions are detected in body images, then the completeness of examination is improved, but the physician's ability to recognize and process all abnormalities deteriorates due to information overload
Solution Approach 1:
The system applies visual differentiation to marked abnormal regions using color changes, brightness adjustments, or distinctive graphical markers. This allows physicians to easily distinguish multiple abnormal regions from each other and from normal tissue, maintaining detection completeness while reducing processing complexity through enhanced visual perception
Solution Approach 2:
The system segments and individually marks each detected abnormal region with distinct visual indicators and provides numerical counting. By breaking down the complex task of monitoring multiple abnormalities into discrete, counted, and marked segments, the system maintains complete detection while simplifying physician processing
Data Source
AI summary
An information processing apparatus (2000) detects an abnormal region (30) from a moving image frame (14). The abnormal region (30) is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus (2000) generates and outputs output information based on the number of detected abnormal regions (30).