Variable Flip Angle MRI Pulse Sequences for T2 Blurring Reduction

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Solution Overview

Problem

Current MRI systems using spin-echo-based techniques face challenges in achieving optimal signal-to-noise ratio (SNR) and reducing T2 blurring artifacts, particularly in applications like arterial spin labeling (ASL) perfusion imaging, due to limitations in echo train length and RF power deposition, which affect image resolution and diagnostic accuracy.

Innovation Solution

A systematic approach to designing variable flip angle schemes and echo scaling corrections for spin-echo-based pulse sequences, such as RARE, to optimize SNR and control T2 blurring, while constraining RF power deposition and motion-related signal loss, using a framework that combines flip angle design with k-space filtering to achieve globally optimal imaging parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If long echo trains are used to accelerate imaging, then productivity is improved, but manufacturing precision deteriorates due to T2 blurring and PSF distortion

Engineering Contradiction:
Improveimaging speedVSAvoidimage resolution
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by systematically varying the refocusing flip angles throughout the echo train rather than using a constant flip angle. This creates an optimized flip angle schedule that maintains signal intensity and reduces T2 blurring effects, thereby preserving image resolution while enabling longer echo trains for faster imaging

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamics by transitioning from static (constant) flip angles to dynamic (variable) flip angles that change throughout the echo train. The flip angle schedule is designed to adapt to the decaying signal characteristics, with different flip angles applied at different time points to optimize both imaging speed and image quality

Inventive Principle:
Principle #15Dynamics

2Duration of action of moving object

If refocusing flip angles are reduced to prolong magnetization availability, then duration of action is improved, but object-generated harmful factors worsen due to increased motion artifact vulnerability

Engineering Contradiction:
Improvemagnetization availability timeVSAvoidmotion artifacts
Core Design Contradiction:
Duration of action of moving objectVSObject-generated harmful factors

Solution Approach 1:

The patent uses parameter changes by implementing a variable flip angle schedule where flip angles are carefully optimized to balance two competing requirements: reducing flip angles to prolong magnetization availability while maintaining sufficient flip angles to minimize motion sensitivity. The schedule creates an optimal trade-off curve between these two parameters

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If variable flip angle schemes are used to optimize SNR, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvesignal-to-noise ratioVSAvoidpulse sequence complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes through a systematic framework for designing variable flip angle schedules that optimize SNR. The method involves calculating optimal flip angles based on signal decay characteristics and then implementing these schedules in the pulse sequence, providing a structured approach that balances performance improvement with implementation complexity

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly improves SNR and reduces T2 blurring, maintaining superior image quality and diagnostic accuracy, even under constraints like reduced SAR, and can be applied to various clinical applications, including ASL and abdominal imaging.

Implementation Method 1

the individual magnetic moments of the nuclear spins in the tissue attempt to align with this polarizing field, but precess about it in random order at their characteristic Larmor frequency

Methodology Applied
Scientific EffectNuclear magnetic resonance:

Implementation Method 2

precess about it in random order at their characteristic Larmor frequency

Methodology Applied
Scientific EffectLarmor precession:

Implementation Method 3

magnetic field gradients (Gx, Gy, and Gz) are employed

Methodology Applied
Scientific EffectMagnetic field gradient encoding: Magnetic Field

Implementation Method 4

Spin echoes are produced in MRI when employing multiple RF pulses, typically at least an excitation RF pulse and a single re focusing RF pulse

Methodology Applied
Scientific EffectSpin echo formation:

Implementation Method 5

The emitted MR signals are detected using a receiver coil. The MRI signals are then digitized and processed

Methodology Applied
Scientific EffectMagnetic signal detection:

Data Source

PatentEP3607340B1System and method for improved spin-echo-based magnetic resonance imaging
Publication Date: 2023.07.26 BETH ISRAEL DEACONESS MEDICAL CENT INC
  • EP3607340B1 patent drawingFigure 1
  • EP3607340B1 patent drawingFigure 2
  • EP3607340B1 patent drawingFigure 3A~3B

AI summary

Systems and methods for acquiring magnetic resonance imaging (MRI) images of a subject are provided. The method includes performing a pulse sequence to elicit spin echoes, wherein the pulse sequence includes a radio frequency (RF) excitation pulse and a series of RF refocusing pulses that refocus echoes with flip angles in the series of RF refocusing pulses that are varied. The method also includes scaling MRI data associated with each echo by a correction factor that is determined for each echo to create scaled MRI data and that is not the same for all echoes. The method then includes reconstructing an image of the subject using the scaled MRI data.