Medical Image Processing Modules for Device-Specific Continuity
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Solution Overview
Problem
Existing medical image processing systems struggle to adapt to different types of medical observation devices and procedures, leading to inefficiencies and potential image loss during communication disruptions.
Innovation Solution
A medical image processing apparatus and system that acquires processing modules from an external server based on device and procedure information, enabling tailored image processing and ensuring continuous display even in communication disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the medical observation device is communicably connected to the server and transmits imaging data, then image processing can be executed on the server, but communication disruptions may cause image loss or interruption
Solution Approach 1:
The system performs preliminary actions by acquiring and storing necessary processing modules and parameters on the medical image processing apparatus before communication disruption occurs. This allows the device to execute image processing independently using locally stored resources when server connection is unavailable, preventing image loss and ensuring continuous operation.
2Adaptability or versatility
If the system uses a fixed image processing algorithm, then processing is simple and fast, but it cannot adapt to different medical observation devices and procedures
Solution Approach 1:
The medical image processing apparatus is designed with multi-functionality by incorporating the capability to acquire and execute different processing modules corresponding to various medical observation devices and procedures. The system universally handles multiple device types and procedure kinds through a unified architecture that automatically selects appropriate processing algorithms based on device and procedure information, achieving adaptability without proportionally increasing complexity.
Solution Approach 2:
The system implements dynamic adaptability by allowing the image processing algorithm to change based on acquired device information and procedure information. The processing module is dynamically selected and loaded from the server based on the specific medical observation device and procedure being performed, enabling the system to adapt its processing capabilities to match the current operational requirements.
3Device complexity
If all image processing is executed on the server, then the medical image processing apparatus has simple hardware, but it becomes dependent on continuous server connection
Solution Approach 1:
The system performs preliminary acquisition of processing modules and parameters from the server and stores them locally in the medical image processing apparatus before actual image processing operations. This preliminary action enables the apparatus to execute image processing independently using cached resources when server connection is unavailable, reducing dependency while maintaining hardware simplicity.
Data Source
AI summary
A medical image processing apparatus includes: a processor including hardware, the processor being configured to: acquire, from an external server, at least one processing module corresponding to connected device information specific to a connected medical observation device for identifying the medical observation device and procedure information regarding procedure; and execute image processing on imaging data obtained by imaging using the medical observation device according to an image processing algorithm corresponding to the at least one processing module.