Pressure Ulcer Image Analysis with Dynamic Region Highlighting
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Solution Overview
Problem
Current technologies for assessing pressure ulcers, such as the 'DESIGN-R' scale, struggle to visually identify and differentiate affected regions in images, particularly when different evaluation criteria are needed for each patient, and cannot handle cases where the evaluated regions cannot be visually checked.
Innovation Solution
A system that includes an extracting unit to segment affected regions for various evaluation indexes from an image, a selecting unit to choose relevant regions based on evaluation results, and a display control unit to highlight these regions differently, allowing for customizable evaluation criteria and visual differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the DESIGN-R scale is used to evaluate pressure ulcers, then the evaluation comprehensiveness is improved, but the visual identification and differentiation of affected regions becomes difficult
Solution Approach 1:
The image processing apparatus segments the pressure ulcer image into multiple affected regions corresponding to different evaluation indexes (Depth, Size, Inflammation/Infection, Granulation, Necrotic tissue). Each segmented region is then highlighted with different display modes, enabling visual differentiation while maintaining comprehensive evaluation coverage.
2Reliability
If standardized evaluation criteria are applied to all patients, then the evaluation consistency is improved, but the adaptability to individual patient needs deteriorates
Solution Approach 1:
The system allows dynamic selection of evaluation indexes and adjustable display modes for different patients. The image processing apparatus can adaptively highlight only the selected evaluation indexes relevant to each patient's condition, while maintaining the standardized DESIGN-R evaluation framework for consistency.
3Ease of operation
If all affected regions are displayed in the same mode, then the display simplicity is improved, but the differentiation of evaluation indexes deteriorates
Solution Approach 1:
Different display modes (highlighting techniques) are applied to different affected regions corresponding to different evaluation indexes. This allows the system to maintain overall display simplicity while providing local differentiation through selective highlighting of specific regions based on their evaluation index.
Data Source
AI summary
An image capturing apparatus sets reference values for a plurality of evaluation indexes and captures images of affected regions for the evaluation indexes, based on user's operation. An image processing apparatus analyzes the captured images and determines the affected region(s) for the evaluation index(es) exceeding the associated reference value(s) set by the user. The image capturing apparatus causes a display unit to highlight the affected region(s) for the evaluation index(es) exceeding the associated reference value(s) and superposes (displays) the affected region(s) on the image of an affected region.


