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Hyperpolarized 129 Xe multi-slice imaging of the human brain using a 3D gradient echo pulse sequence.

Vira Grynko1,2, Yurii Shepelytskyi2,3, Tao Li3

  • 1Chemistry and Materials Science Program, Lakehead University, Thunder Bay, Ontario, Canada.

Magnetic Resonance in Medicine
|July 17, 2021
PubMed
Summary

This study shows the first multi-slice in-vivo human brain MRI using hyperpolarized (HP) xenon-129 (129 Xe). This new HP 129 Xe MRI technique offers improved diagnostic potential for brain imaging.

Keywords:
3D multi-slice HP 129Xe imagingbraindissolved-phase 129Xe imaginghyperpolarized 129Xe

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Area of Science:

  • Medical Imaging
  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Medical Physics

Background:

  • Hyperpolarized (HP) gases enable enhanced signal in Magnetic Resonance Imaging (MRI).
  • Xenon-129 (129 Xe) is a suitable nucleus for HP MRI due to its favorable spectroscopic properties.
  • Multi-slice imaging allows for the acquisition of volumetric data in a single scan or breath-hold.

Purpose of the Study:

  • To demonstrate the feasibility of multi-slice in-vivo human brain MRI using hyperpolarized 129 Xe.
  • To acquire images in both axial and sagittal orientations.
  • To calculate the signal-to-noise ratio (SNR) for the acquired brain images.

Main Methods:

  • Two healthy participants underwent HP 129 Xe MRI of the brain.
  • A Philips Achieva 3.0T MRI scanner was used with 3D gradient echo (GRE) imaging.
  • Images were acquired during a single breath-hold after inhaling 1 L of HP 129 Xe, with four sagittal and three axial slices obtained.

Main Results:

  • The first multi-slice HP 129 Xe brain MRI images were successfully acquired in both axial and sagittal planes.
  • The distribution of the 129 Xe signal correlated well with gray matter distribution.
  • High SNR values were achieved (axial: 19.46 ± 3.25; sagittal: 18.76 ± 4.94), with visible anatomical features like ventricles.

Conclusions:

  • Multi-slice in-vivo human brain MRI using HP 129 Xe is feasible.
  • This technique has the potential to enhance current diagnostic methods for brain imaging.