MRI Protocol Parameter Selection Interface
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Medical staff face difficulties in correctly selecting and adjusting numerous protocol parameters for magnetic resonance examinations, leading to confusion and increased error vulnerability, which affects image quality and workflow efficiency.
Innovation Solution
A method that provides a user-defined protocol parameter setting by selecting and presenting only relevant protocol parameters based on stored user-dependent information, using a controller with a selection mode and user interface to simplify the adjustment process, reducing the number of parameters and enhancing organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all protocol parameters are presented to the user for selection and adjustment, then complete control and flexibility are achieved, but the complexity and difficulty of operation increase significantly
Solution Approach 1:
The protocol parameters are segmented into different categories or groups (e.g., essential parameters, optional parameters, advanced parameters). The user interface divides the complete parameter set into manageable sections, allowing users to access only the relevant segment for their specific task, thereby reducing cognitive load while maintaining full control capability.
Solution Approach 2:
Different presentation qualities are applied to different parameter groups based on their importance and frequency of use. Critical parameters are highlighted or placed in prominent positions, while less important parameters are organized in secondary sections. This local differentiation helps users focus on essential adjustments without being overwhelmed by the complete parameter set.
2Loss of information
If all protocol parameters are displayed in detail, then comprehensive information is provided, but the overview becomes complex and unclear
Solution Approach 1:
The parameter presentation structure is made dynamic and adaptive. The system automatically adjusts the level of detail displayed based on the current protocol context, user preferences, and examination type. Parameters can be expanded or collapsed, and the interface dynamically reorganizes content to maintain clarity while preserving access to complete information.
Solution Approach 2:
The parameter information is organized across multiple dimensions or levels of abstraction. Instead of presenting all parameters in a single flat list, the interface uses hierarchical organization, tabs, or accordion structures that allow users to navigate through different layers of detail, maintaining a clean overview while providing access to comprehensive parameter information when needed.
3Manufacturing precision
If multiple protocol parameters are set and adjusted manually, then precise control is achieved, but the time required for configuration increases
Solution Approach 1:
The system performs preliminary actions by automatically pre-configuring protocol parameters based on the selected examination type, patient data, or protocol template. Common parameter settings are pre-established, and the system automatically applies appropriate defaults, allowing users to focus only on the specific parameters that need customization rather than configuring everything from scratch.
Solution Approach 2:
The system provides self-service capabilities through automated parameter selection and adjustment based on predefined rules, protocols, or machine learning models. The system can automatically optimize certain parameters based on the examination context, reducing the manual configuration burden while maintaining precise control over critical parameters that require user input.
Data Source
AI summary
In a method for providing a selection of at least one protocol parameter from a plurality of protocol parameters for a user-defined protocol parameter setting of at least one magnetic resonance protocol for a magnetic resonance examination on a patient using a magnetic resonance device, a selection mode and a setting mode can be performed. In the selection mode, stored user-dependent parameter information can be provided and a selection of the at least one protocol parameter for a protocol parameter setting can be determined based on the stored user-dependent parameter information. In the setting mode, the determined selection of the at least one protocol parameter can be provided to the user via a user interface.