MRI Protocol Database for Parameter Optimization
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Solution Overview
Problem
The optimal choice of scan parameters for magnetic resonance imaging (MRI) scans is challenging due to the numerous adjustable parameters and the need for expert users to adapt protocols individually, often resulting in suboptimal image quality or repeated scans, especially when technicians are unfamiliar with different MR systems or advanced techniques.
Innovation Solution
A method that categorizes MRI protocols into predefined types, allowing for the analysis of previous scans to provide statistical information on parameter modifications, assisting users in selecting appropriate parameters through a user interface, and updating database statistics for improved protocol adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If numerous adjustable parameters are provided in the user interface for MR scan protocols, then the system can perform imaging with high flexibility and adaptability, but the complexity of the user interface increases and becomes difficult to navigate
Solution Approach 1:
The patent segments the numerous adjustable parameters into predefined protocol templates (e.g., brain MRI, abdominal MRI, musculoskeletal MRI). Each template groups related parameters together and provides default values, allowing users to select a complete parameter set rather than individually adjusting each parameter. This segmentation reduces interface complexity while maintaining adaptability.
Solution Approach 2:
The patent implements preliminary configuration by providing pre-optimized parameter sets that have been previously determined to be optimal for specific imaging scenarios. These predefined protocols prepare the necessary parameter combinations in advance, eliminating the need for users to configure parameters from scratch and reducing the cognitive load on the user interface.
2Manufacturing precision
If expert users manually adapt scan parameters individually, then optimal image quality can be achieved, but the time required for parameter selection increases and productivity decreases
Solution Approach 1:
The system performs preliminary optimization by providing pre-configured protocols that have been tuned by experts for specific imaging scenarios. These protocols include pre-determined parameter values (e.g., TR, TE, flip angle, resolution) that are optimized for particular anatomical regions and diagnostic purposes, eliminating the need for time-consuming manual optimization while maintaining high image quality standards.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system learns from previously executed scans and user adjustments. By analyzing which parameter modifications lead to satisfactory image quality, the system refines its predefined protocols and provides increasingly accurate recommendations, reducing the iterative adjustment process and accelerating scan preparation.
3Adaptability or versatility
If technicians work on different MR systems from various vendors, then system versatility is achieved, but the difficulty of detecting and measuring optimal parameters increases due to varying user interfaces
Solution Approach 1:
The patent creates a universal protocol framework that can be adapted across different MR system vendors. By defining standardized parameter categories and using vendor-neutral terminology in the user interface, the system enables technicians to work with consistent parameter sets regardless of the underlying hardware vendor, reducing the learning curve and measurement difficulty across multi-vendor environments.
4Manufacturing precision
If iterative adjustment of scan parameters is performed, then image quality can be optimized, but the time for repeated scans increases and productivity is reduced
Solution Approach 1:
The system performs preliminary parameter optimization by providing expert-tuned default values for each protocol type. These pre-optimized settings serve as a starting point that requires minimal adjustment, reducing the number of iterative scans needed. The preliminary configuration includes appropriate parameter ranges and constraints that guide users toward optimal settings without requiring extensive trial and error.
Data Source
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AI summary
Provided herein is a system and method for performing a magnetic resonance imaging scan using a MR scanner. The method can comprise receiving via a user interface a MR imaging protocol categorizable into a MR scan type of a predefined set of MR scan types. Further, the method can comprise querying a database by providing to the database scan information permitting the database to identify the MR scan type of the MR imaging protocol. The method can further comprise receiving from the database statistical information on the MR scan type which can include statistics on modifications of individual scan parameters of the MR scan type, and providing the statistical information to the user interface. Modifications of the MR imaging protocol can be received from the user interface, resulting in a modified MR imaging protocol, according to which the MR imaging scan can be performed.