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Hexagonal gradient scheme with RF spoiling improves spoiling performance for high-flip-angle fast gradient echo

Aaron T Hess1, Matthew D Robson1

  • 1University of Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford, U.K.

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|April 3, 2016
PubMed
Summary
This summary is machine-generated.

Hexagonal spoiling, a novel time-varying gradient technique, significantly reduces unwanted MRI signals, especially at high flip angles. This method offers improved signal-to-noise ratio compared to traditional constant spoiling methods.

Keywords:
RF spoilingfast gradient echogradient spoilingspoiling

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Area of Science:

  • Magnetic Resonance Imaging
  • Signal Processing

Background:

  • Unwanted signal in Magnetic Resonance Imaging (MRI) can degrade image quality, particularly at high flip angles.
  • Traditional constant spoiling gradients may not sufficiently suppress these artifacts.

Purpose of the Study:

  • To introduce a new framework using time-varying gradients combined with RF spoiling to minimize unwanted MRI signals.
  • To evaluate the efficacy of this novel technique, termed hexagonal spoiling, in reducing signal artifacts.

Main Methods:

  • A hexagonal spoiling scheme was developed, where spoiler gradients cycle through hexagonal vertices, compatible with RF spoiling.
  • The hexagonal spoiling method was compared against constant spoiling gradients.
  • Extended Phase Graph (EPG) simulations, phantom studies, and in vivo imaging were employed for assessment.

Main Results:

  • Hexagonal spoiling markedly reduced unwanted signal in both transient and steady states across simulations and experiments.
  • In vivo, for adipose tissue at 1.5 Tesla and a 60° flip angle, steady-state unwanted signal decreased from 22% with constant spoiling to 2% with hexagonal spoiling.

Conclusions:

  • Hexagonal spoiling, a time-varying gradient scheme, effectively enhances signal spoiling in MRI when used with RF spoiling.
  • This method provides superior performance over traditional constant spoiling gradients, leading to cleaner images.