Endoscopic Image Processing Apparatus with Dynamic Lesion Highlighting
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Solution Overview
Problem
Existing endoscopic image processing systems struggle to effectively highlight lesion candidate regions in endoscopic images and adjust the display state accordingly to assist users in identifying these regions efficiently.
Innovation Solution
An endoscopic image processing apparatus that generates a display image with one main screen and one or more sub-screens, detects lesion candidate regions, and highlights their positions based on the region's state, adjusting the highlighting method on both the main and sub-screens to facilitate user work.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single screen is used to display endoscopic images, then the display is simple, but the user cannot simultaneously view multiple images or perspectives
Solution Approach 1:
The display is divided into multiple independent screens (main screen and sub-screens), where each screen can independently display different endoscopic images, markers, or information. This segmentation allows simultaneous viewing of multiple perspectives while maintaining manageable complexity through modular design
2Illumination intensity
If lesion candidate regions are highlighted with strong visual markers, then visibility is improved, but the highlighting may obscure important diagnostic details in the original image
Solution Approach 1:
Different highlighting strategies are applied to different regions and contexts. The system adjusts marker transparency, color, and intensity based on the specific lesion characteristics, image quality, and diagnostic needs, ensuring that highlighting enhances visibility without uniformly obscuring important details
Solution Approach 2:
The highlighting parameters are dynamically adjusted based on feedback from image analysis and user interaction. The system can modify marker properties in real-time to optimize the balance between visibility and information preservation
3Loss of information
If multiple screens are used to display different views, then comprehensive information is provided, but the system complexity and processing requirements increase
Solution Approach 1:
The information display is segmented across multiple screens, with each screen dedicated to specific types of information (e.g., main endoscopic view, lesion markers, measurement data). This segmentation provides comprehensive information while organizing complexity into manageable, functionally-differentiated components
Solution Approach 2:
The multi-screen system is designed with universal control and processing architecture that can handle various display configurations and information types through a unified framework, reducing overall system complexity despite the increased number of display elements
4Adaptability or versatility
If the highlighting method is fixed, then the implementation is simple, but it cannot adapt to different lesion types or user preferences
Solution Approach 1:
The highlighting method transitions from fixed to dynamic, automatically adjusting marker properties based on lesion characteristics, image conditions, and user interactions. This dynamic adaptation increases versatility while the underlying processing remains systematic and manageable
Solution Approach 2:
The system incorporates feedback mechanisms that monitor user interactions and image analysis results, using this information to automatically adjust highlighting parameters. This feedback loop enables adaptability to different lesion types and user preferences without requiring complex manual configuration
Data Source
AI summary
An endoscopic image processing apparatus is configured to generate a display image including one main screen and one or more sub-screens smaller than the main screen for displaying an endoscopic image obtained by picking up an image of an object in a subject with an endoscope. The endoscopic image processing apparatus includes a processor. The processor receives the endoscopic image and detects one or more lesion candidate regions included in the endoscopic image, highlights a position of the lesion candidate region, and sets, based on any one of a state of the lesion candidate region, a work state of a user who performs work using the endoscope, or a display state of the display image, a highlighting method in highlighting a position of the lesion candidate region included in at least one of the main screen or the sub-screen.