Imaging Protocol Translation Module
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Solution Overview
Problem
Diagnostic medical imaging systems from different vendors or models require significant time to adapt to new systems due to differences in image capture parameters, impacting efficiency and image quality when switching or incorporating new devices.
Innovation Solution
A method and system for translating imaging protocols between devices by determining adjustments to parameters such as tube current, voltage, and filter usage using a protocol translation module, which includes logic to receive and translate data for image capture protocols, enabling quick transition between imaging devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a new diagnostic medical imaging system is introduced, then image quality and system capabilities are improved, but considerable time is spent developing understanding of new parameters and adapting protocols
Solution Approach 1:
The system creates a digital copy of the original imaging protocol from the first device and applies automated transformations to adapt it to the second device. This copying approach preserves the proven imaging parameters while enabling rapid adaptation without manual re-development of protocols.
Solution Approach 2:
The system automatically identifies and adjusts imaging parameters when translating protocols between devices from different vendors or models. By systematically modifying parameters such as tube current, voltage, and filter settings based on device-specific characteristics, the system eliminates the time-consuming manual adaptation process while maintaining image quality.
2Ease of operation
If imaging protocols are manually adapted to new devices, then parameter understanding is achieved, but operational efficiency decreases
Solution Approach 1:
The protocol translation system performs self-service by automatically analyzing the characteristics of both the source and target imaging devices, then autonomously generating translated protocols. This eliminates the need for manual parameter adjustment while maintaining ease of operation through automated device-specific optimizations.
Solution Approach 2:
The system introduces a protocol translation module as an intermediary between the original protocol and the new device. This intermediary automatically handles the complex parameter transformations, bridging the gap between different device architectures without requiring manual intervention, thus preserving operational efficiency.
3Reliability
If device-specific parameters are used, then image quality is optimized for each device, but protocol compatibility across different vendors and models decreases
Solution Approach 1:
The protocol translation system provides universal compatibility by enabling protocols to be adapted across multiple vendor platforms and device models. It maintains device-specific optimization through automated parameter adjustment while achieving broad versatility by supporting translations between different imaging system architectures and protocols.
Data Source
AI summary
Techniques for imaging protocol translation are described herein. The techniques may include data indicating a protocol for image capture of a first imaging device. The protocol includes parameters. The techniques may include translating the protocol of the first imaging device for use at a second imaging device by determining adjustments to be made to one or more of the parameters.