MRI Waveform Determination via Subject Tolerance Parameters
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Solution Overview
Problem
Magnetic resonance imaging (MRI) devices face challenges in reducing scanning time and providing personalized scanning strategies, leading to a poor user experience due to the complexity of determining waveforms for pulse sequences and the need for unified scanning strategies that may not accommodate individual differences.
Innovation Solution
A system and method that utilize a processor to obtain a pulse sequence and tolerance parameters, determine a target waveform by querying a database or adjusting an initial waveform, and cause an MRI device to scan based on the target waveform, allowing for personalized scanning strategies and improved user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a unified scanning strategy is used for all subjects, then the scanning process is simplified, but the user experience deteriorates due to inability to accommodate individual differences
Solution Approach 1:
The patent implements dynamic waveform determination by adjusting waveform parameters based on subject-specific tolerance parameters. The system transitions from a static unified scanning strategy to a dynamic personalized strategy where waveforms are automatically adapted to individual subjects' noise tolerance and SAR constraints, resolving the contradiction between simplicity and personalization
Solution Approach 2:
The patent changes waveform parameters (amplitude, duration, shape) based on subject-specific tolerance parameters. By modifying these parameters dynamically according to individual subjects' characteristics, the system achieves personalized scanning strategies without manually reconfiguring the entire scanning protocol, thus improving user experience while maintaining operational simplicity
2Manufacturing precision
If waveform determination is performed manually for each pulse sequence, then the waveform can be optimized, but the scanning time increases due to the complicated and time-consuming process
Solution Approach 1:
The patent performs waveform determination as a preliminary action before the actual scanning process. By pre-calculating and determining the optimal waveforms based on the pulse sequence and subject's tolerance parameters before scanning begins, the system avoids time-consuming manual adjustments during the scan, thus optimizing waveforms while minimizing scanning time
Solution Approach 2:
The system implements self-service waveform determination where the processing device automatically selects and adjusts waveforms based on the pulse sequence and tolerance parameters without requiring manual intervention. This automated self-service approach eliminates the time-consuming manual waveform determination process while maintaining optimization quality
3Productivity
If the waveform determination process is simplified, then the scanning time is reduced, but the waveform may not be optimized for individual subject needs
Solution Approach 1:
The patent incorporates feedback mechanisms where the system continuously monitors subject-specific tolerance parameters (noise tolerance, SAR) and adjusts waveforms accordingly. This feedback loop enables the system to maintain waveform optimization for individual subjects while operating at high scanning speeds, as the adjustments are made automatically based on real-time parameter feedback rather than manual optimization
Data Source
AI summary
The present disclosure provides systems and methods for magnetic resonance imaging. The method may include obtaining a pulse sequence for scanning an object, obtaining a tolerance parameter associated with the pulse sequence, determining, based on the pulse sequence and the tolerance parameter, a target waveform for scanning the object, and causing an MRI device to scan the object based on the target waveform.