Endoscope Image Processing With Adaptive Algorithm Switching
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Solution Overview
Problem
Existing medical image processing devices struggle to accommodate endoscopes of different generations with varying imaging devices and optical systems, requiring either customized algorithms for each endoscope or a single common algorithm that fails to optimize image processing for all types.
Innovation Solution
A medical image processing device with a processing module that can switch between dedicated algorithms for specific endoscope generations and a universal algorithm compatible with all endoscopes, allowing user selection based on preference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a common algorithm is used for all endoscopes, then device compatibility is improved, but image processing optimization deteriorates
Solution Approach 1:
The system dynamically switches between common algorithm processing and dedicated algorithm processing based on the connected endoscope type. The processing module automatically detects the endoscope model and selects the appropriate algorithm, making the system adaptable rather than static.
Solution Approach 2:
Different image processing algorithms are applied to different endoscope types based on their specific characteristics. Older endoscopes receive dedicated algorithms optimized for their imaging devices, while newer endoscopes use the common algorithm, ensuring each gets the appropriate processing quality.
2Manufacturing precision
If dedicated algorithms are used for each endoscope, then image processing optimization is improved, but device complexity increases
Solution Approach 1:
The processing module is designed to handle multiple endoscope types with a single unified interface. It can process images from both older endoscopes with dedicated algorithms and newer endoscopes with the common algorithm, reducing the need for separate processing systems.
Solution Approach 2:
The system automatically detects which endoscope is connected and selects the appropriate algorithm without requiring manual configuration. The endoscope itself provides identification information that enables the processing module to self-configure the optimal processing path.
3Ease of operation
If algorithm selection is automated, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The processing module automatically detects the endoscope type and selects the appropriate algorithm without user intervention. This self-service capability simplifies operation for users while the system handles the complexity internally.
Solution Approach 2:
The system uses feedback from the endoscope's identification information to automatically determine which algorithm to apply. This closed-loop approach allows automated decision-making based on real-time system state without increasing user burden.
Data Source
AI summary
A medical image processing device includes a processing module performing data processing with respect to imaging data, the processing module being capable of implementing a first algorithm which enables data processing with respect to first imaging data obtained as a result of imaging performed by a first endoscope, and a second algorithm which enables data processing with respect to the first imaging data and with respect to second imaging data obtained as a result of imaging performed by a second endoscope, the processing module being configured to determine type of endoscope that is connected, when connection with the first endoscope is determined, perform data processing according to an algorithm that is selected as a result of a user operation from among the first algorithm and the second algorithm, and when connection with the second endoscope is determined, perform data processing according to the second algorithm.