AI Protocol Translation for Cross-Vendor Imaging Scanner Consistency
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Solution Overview
Problem
Existing medical imaging scanners from different vendors require separate protocols due to incompatibility, leading to inefficiencies and the need for manual adjustments, with no effective solution for cross-vendor protocol consistency.
Innovation Solution
A computer-implemented method using artificial intelligence-based algorithms to optimize and generate protocols across different scanner models and vendors, leveraging generative AI models to translate and fine-tune protocols based on clinical requirements and user preferences, ensuring consistent scan outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate protocols are maintained for each scanner model and vendor, then protocol compatibility is achieved within each scanner, but device complexity and manual adjustment requirements increase
Solution Approach 1:
The patent implements a universal protocol framework that can be applied across multiple scanner vendors and models. The system extracts vendor-neutral protocol parameters and translates them to vendor-specific implementations, allowing a single protocol definition to serve multiple scanning devices. This eliminates the need to maintain separate protocols for each scanner while ensuring compatibility through automated translation layers.
Solution Approach 2:
The patent introduces an intermediary protocol translation layer that sits between the universal protocol definition and vendor-specific scanner implementations. This intermediary automatically translates and adapts protocols between different vendor formats, reducing manual adjustment requirements while maintaining compatibility across diverse scanning devices.
2Manufacturing precision
If manual modifications are made to protocols for each scanner, then scan quality can be optimized, but time consumption and operational complexity increase
Solution Approach 1:
The patent performs preliminary protocol optimization by pre-processing and pre-translating protocols before they are applied to scanning devices. The system automatically adjusts vendor-specific parameters in advance based on the universal protocol definition, eliminating the need for manual modifications during actual scanning operations and reducing operational time.
Solution Approach 2:
The patent implements self-service protocol adaptation where the system automatically translates and optimizes protocols without requiring manual intervention. The protocol translation layer autonomously adjusts parameters based on vendor-specific requirements, maintaining scan quality while eliminating manual adjustment time and reducing operational complexity.
3Manufacturing precision
If vendor-specific protocols are used, then scanner-specific optimization is achieved, but cross-vendor consistency and adaptability are reduced
Solution Approach 1:
The patent segments protocol parameters into vendor-neutral core parameters and vendor-specific implementation parameters. This segmentation allows the core scanning requirements to be defined universally while enabling vendor-specific optimizations through separate translation layers. The separated structure maintains both cross-vendor consistency and scanner-specific optimization capabilities.
Solution Approach 2:
The patent applies local quality by allowing vendor-specific parameter optimizations at the implementation level while maintaining universal protocol definitions at the core level. Each vendor's specific requirements are addressed locally through translation rules, while the overall protocol structure remains consistent across all vendors, achieving both optimization and adaptability.
4Ease of operation
If protocols are created outside scanner protocol management software, then flexibility is improved, but reliability and consistency are compromised
Solution Approach 1:
The patent implements feedback mechanisms that validate protocols created outside scanner protocol management software against established consistency rules and vendor-specific requirements. The system provides automated validation and error detection, ensuring that externally created protocols meet reliability standards while maintaining the flexibility of external creation processes.
Data Source
AI summary
A computer-implemented method for optimizing protocols for medical imaging scanners includes receiving, at a processing system including one or more processors, a planned protocol from an organization for a medical imaging scanner. The computer-implemented method also includes utilizing, via the processing system, an artificial intelligence-based algorithm to generate suggested protocol parameters to optimize the planned protocol based at least on the planned protocol. The computer-implemented method further includes outputting, via the processing system, from the artificial intelligence-based algorithm an optimized protocol for the planned protocol based on one or more of the suggested protocol parameters. The computer-implemented method includes modifying, via the processing system, settings of the medical imaging scanner when the optimized protocol is utilized for a scan of a subject with the medical imaging scanner. The computer-implemented method includes executing, via the processing system, a scan of the subject with the medical imaging scanner utilizing the optimized protocol.