Magnetic Resonance Imaging Parameter Correction for Thermal Drift

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Solution Overview

Problem

During long magnetic resonance imaging (MRI) scans, temperature increases cause system performance degradation due to changes in eddy currents, B0 field, and other parameters, leading to image quality deterioration and artifacts, which existing systems struggle to monitor and correct effectively.

Innovation Solution

A magnetic resonance imaging system and method that acquires and corrects system state parameters like eddy current, gradient delay, phase shift, and center frequency using function relationships, allowing real-time monitoring and compensation for parameter variations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Duration of action of moving object

If long scan sequence is performed, then more imaging data can be acquired, but system temperature increases causing parameter variations and image quality degradation

Engineering Contradiction:
Improvescan sequence durationVSAvoidimage quality
Core Design Contradiction:
Duration of action of moving objectVSReliability

Solution Approach 1:

The patent implements a feedback mechanism by continuously monitoring system temperature during the scan sequence and using this temperature information to dynamically adjust and correct imaging parameters. The processor acquires temperature data, determines parameter variations based on temperature changes, and applies corrections to maintain image quality throughout the extended scan duration.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies parameter changes by adjusting imaging parameters (such as gradient delays, phase shifts, center frequency) based on measured temperature variations. The system establishes function relationships between temperature and these parameters, then modifies the parameters in real-time to compensate for temperature-induced drift, thereby maintaining reliable image quality during long scans.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If real-time parameter monitoring and correction is implemented, then image quality is maintained, but system complexity increases

Engineering Contradiction:
Improveimage qualityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies self-service by enabling the system to automatically monitor its own temperature, determine parameter variations, and correct its imaging parameters without external intervention. The processor within the MRI system performs all correction operations autonomously using pre-established function relationships between temperature and imaging parameters, reducing the need for complex external correction systems.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements preliminary action by pre-establishing function relationships between temperature and imaging parameters before the scan begins. These relationships are determined in advance through calibration or measurement, allowing the system to quickly apply corrections during the scan without requiring complex real-time calculations, thereby reducing system complexity while maintaining image quality.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12458245B2Magnetic resonance imaging system and correction method thereof
Publication Date: 2025.11.04 GE PRECISION HEALTHCARE LLC
  • US12458245B2 patent drawing
  • US12458245B2 patent drawing
  • US12458245B2 patent drawing

AI summary

A magnetic resonance imaging system includes a processor. The processor is configured to acquire a variation of a first system state parameter during a scanning process of the magnetic resonance imaging system, determine, according to the variation of the first system state parameter, a variation of a second system state parameter on the basis of a function relationship between the first system state parameter and the second system state parameter, and correct the magnetic resonance imaging system on the basis of the variation of at least one of the first system state parameter and the second system state parameter.