Automated Protocol Selection for Medical Imaging Devices
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Solution Overview
Problem
Modern medical image recording devices face challenges in obtaining optimal image quality due to the complexity of manually selecting from numerous measurement protocols, which often results in suboptimal protocol usage by users focused on patient examination or treatment.
Innovation Solution
An automated method using an identification algorithm, potentially incorporating artificial intelligence, to determine optimal operating parameters for medical image recording devices based on patient models and registration with the device's coordinate system, minimizing user interaction and selecting the best imaging parameters for each specific examination or treatment phase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection of measurement protocols is provided, then users can select appropriate protocols for different examination purposes, but the operation becomes complex and users may not use optimal protocols due to focus on patient examination
Solution Approach 1:
The system performs self-service by automatically selecting and optimizing measurement protocols without requiring manual user input. The control device autonomously determines examination purposes, selects appropriate protocols, and adjusts parameters based on patient data and device state, eliminating the need for users to manually navigate complex protocol selections while maintaining optimal imaging settings for various examination types
2Manufacturing precision
If an increasing number of measurement protocols are provided for different organs and disciplines, then image recording quality can be optimized for specific purposes, but the device complexity increases
Solution Approach 1:
The patent extracts the protocol selection and optimization functions from the user and transfers them to the control device. Instead of requiring users to manually select from numerous protocols, the system extracts the decision-making logic and automatically determines the optimal protocol based on analyzed patient data, examination purpose, and device state, thereby reducing operational complexity while maintaining high image quality
Solution Approach 2:
The system dynamically changes operating parameters by automatically adjusting measurement protocol settings based on real-time analysis of patient data and device state. Rather than providing static protocols that require manual selection, the system continuously adapts parameters such as image quality settings, exposure conditions, and processing parameters to optimize imaging for the specific examination purpose at hand
3Productivity
If users focus on patient examination and treatment, then clinical effectiveness is improved, but optimal measurement protocols are not used due to lack of awareness
Solution Approach 1:
The system implements feedback by continuously monitoring device state, patient data, and examination progress to automatically adjust measurement protocols. The control device receives feedback about the actual examination situation and dynamically modifies imaging parameters to maintain optimal quality, ensuring that clinical efficiency and image quality are both achieved without requiring user awareness or manual adjustment
Data Source
AI summary
Operating a medical image recording device in the context of an image recording routine for a patient is provided. The image recording routine serves an image recording purpose. The image recording device is controlled based on operating parameters implemented by a controller of the image recording device. The operating parameters are identified completely automatically by an identification algorithm from input data describing at least the patient in the form of a patient model and/or the image recording purpose, and from a registration of the patient with a coordinates system of the image recording device. The operating parameters are used to control the image recording device. An examination region that is to be recorded for the patient and the image recording purpose are derived based on the registration.