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Accelerating Brain Imaging Using a Silent Spatial Encoding Axis.

Edwin Versteeg1, Dennis W J Klomp1, Jeroen C W Siero1,2

  • 1Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Magnetic Resonance in Medicine
|June 13, 2022
PubMed
Summary
This summary is machine-generated.

A novel silent gradient axis allows for high magnetic resonance imaging (MRI) acceleration factors up to 10. This technology maintains a g-factor close to unity, enabling faster scans without compromising image quality.

Keywords:
accelerationgradient coilgradient insertmagnetic resonance imagingparallel imagingquietsilent

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Biophysics

Background:

  • Accelerated MRI acquisition techniques are crucial for reducing scan times and improving patient comfort.
  • Peripheral nerve stimulation (PNS) limits acceleration in conventional MRI due to high gradient amplitudes.
  • Silent gradient technology operates at inaudible frequencies, potentially overcoming PNS limitations.

Purpose of the Study:

  • To characterize the acceleration capabilities of a silent head insert gradient axis.
  • To evaluate its performance at an inaudible frequency (20 kHz) and maximum gradient amplitude (40 mT/m).
  • To assess the potential for high acceleration without inducing peripheral nerve stimulation.

Main Methods:

  • Utilized a silent gradient axis with oscillating gradients in the phase-encoding direction, integrated with a Cartesian readout.
  • Acquired fully sampled 2D gradient echo datasets with and without the silent readout.
  • Retrospectively undersampled data (R=1-12) to compare silent gradient acceleration with conventional SENSE acceleration, varying gradient amplitude and readout bandwidth.

Main Results:

  • The silent readout reduced the g-factor across all acceleration factors compared to SENSE.
  • Increasing silent gradient amplitude to 40 mT/m at R=10 reduced the average g-factor (g_avg) from 1.3 to 1.1.
  • Higher readout bandwidths (651 Hz/pixel) at R=8 resulted in a g_avg of 1.5.

Conclusions:

  • A silent gradient axis enables high acceleration factors (up to R=10) with g-factors near unity.
  • This technology maintains diagnostic image quality with clinically relevant readout bandwidths.
  • Silent gradients offer a promising approach to accelerate MRI scans while avoiding peripheral nerve stimulation.