Cloud Image Routing via Anatomy-Specific Processing
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Solution Overview
Problem
Current image processing in radiology is labor-intensive, slow, and inconsistent, relying on operator skills and expensive dedicated hardware, and lacks efficient automation for anatomy-specific processing and routing.
Innovation Solution
A cloud-based system that automatically identifies anatomy in image data, processes it using anatomy-specific algorithms, and routes it to appropriate destinations, enabling intelligent and efficient image data management and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual retrieval and transport of patient information is used, then data transfer between healthcare entities is achieved, but labor time and operational complexity increase
Solution Approach 1:
The system enables automated self-service data transfer where the information system automatically retrieves, processes, and transmits patient information to referring healthcare entities without requiring manual intervention for data copying, storage device handling, or upload operations
Solution Approach 2:
The patent replaces the mechanical manual process of retrieving information, storing it on physical media, transporting devices, and manually uploading data with an automated electronic information system that handles all these operations through software-based processes and automated communication protocols
2Productivity
If dedicated hardware is used for image processing, then processing capability is improved, but device cost and accessibility worsen
Solution Approach 1:
The patent implements a universal cloud-based processing platform that can handle multiple types of medical image processing tasks across different healthcare entities, replacing the need for each entity to maintain specialized dedicated hardware with a shared multi-functional cloud infrastructure
Solution Approach 2:
The system introduces a cloud-based intermediary processing layer that sits between the image acquisition devices and the final analysis, allowing complex processing tasks to be performed remotely on powerful cloud servers rather than requiring expensive dedicated hardware at each local facility
3Adaptability or versatility
If operator-dependent processing is used, then flexibility in handling different cases is achieved, but consistency and reliability of results deteriorate
Solution Approach 1:
The system implements automated feedback mechanisms where processing algorithms automatically adjust parameters based on image characteristics and clinical context, and where results are validated against established criteria, replacing operator-dependent judgment with automated decision-making that ensures consistent application of processing standards
Solution Approach 2:
The patent utilizes automated parameter adjustment based on image metadata, anatomy type, and clinical indication, where the system automatically selects and applies appropriate processing parameters without manual intervention, ensuring that the same parameters are consistently applied to similar cases regardless of which operator would have handled them
Data Source
AI summary
Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.