Medical Image Processing Apparatus Adaptive Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Medical therapeutic equipment, such as endoscope systems, face limitations in image processing performance due to redundancy constraints, where emergency signal processing devices can only perform the same tasks as normal devices, hindering advanced image-quality enhancement processing that improves surgical efficiency.
Innovation Solution
A medical image processing apparatus allocates medical imaging processes to multiple assignable processing resources based on resource information, allowing for adaptive distribution of processing tasks across different resources, including GPUs and FPGAs, to enhance image quality and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal processing devices for emergency use are provided with the same processing capabilities as normal use devices, then system reliability is improved through redundancy, but device complexity and cost increase without achieving advanced image-quality enhancement processing
Solution Approach 1:
The patent applies universality by enabling emergency signal processing devices to perform multiple functions beyond their original design. The allocation management unit dynamically assigns different image processing tasks (including advanced enhancement processing) to emergency devices based on system state and task requirements, transforming single-function redundant devices into multi-functional resources that can handle both basic signal processing and advanced image quality enhancement.
2Device complexity
If emergency signal processing devices are limited to the same processing content as normal use devices, then device complexity is reduced, but productivity and image processing performance are insufficient for advanced enhancement tasks
Solution Approach 1:
The patent implements dynamics through the allocation management unit that dynamically adjusts the functional capabilities of emergency signal processing devices. Instead of static limitations, the system continuously monitors system state, task requirements, and device availability to dynamically assign appropriate processing tasks, allowing emergency devices to adaptively perform advanced image quality enhancement processing when needed while maintaining simple operational states when not required.
3Productivity
If advanced image-quality enhancement processing is implemented beyond normal use device capabilities, then productivity and surgical efficiency are improved, but device complexity and resource allocation challenges increase
Solution Approach 1:
The patent applies feedback through the allocation management unit that continuously monitors system state, task requirements, and device performance to make informed allocation decisions. The system receives feedback about the current operational status of normal and emergency devices, the types of image processing tasks required, and performance metrics, then dynamically adjusts resource allocation to optimize surgical efficiency while managing complexity through data-driven decision-making.
Data Source
AI summary
A medical image processing apparatus for allocating at least two medical imaging processes to a plurality of assignable processing resources is provided. The plurality of assignable processing resources is allocated by the medical image processing apparatus based on resource information of the plurality of assignable processing resources. The medical image processing apparatus includes circuitry configured to acquire medical image processing content, from medical equipment, to be processed according to the at least two medical imaging processes prior to display on a display device connected to a surgical operating room network. The circuitry is configured to acquire the resource information of the plurality of assignable processing resources, and allocate each of the at least two medical imaging processes to a different one of the plurality of assignable processing resources based on the resource information of the plurality processing resources and the medical image processing content.