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Dixon-based B0 self-navigation in radial stack-of-stars multi-echo gradient echo imaging.

Jonathan Stelter1, Kilian Weiss2, Mingming Wu1,3

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|August 19, 2024
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A new Dixon-based method uses self-navigation to correct magnetic field variations in body MRI. This technique improves quantitative imaging by addressing motion-induced artifacts, especially in fat-containing tissues.

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free‐breathinggradient echo imagingwater‐fat separation

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative Body Imaging
  • Biomedical Engineering

Background:

  • Temporal magnetic field (B0) variations are a significant challenge in radial stack-of-stars gradient echo imaging for quantitative body MRI.
  • These B0 variations can lead to signal loss, phase shifts, and inaccurate quantitative parameter estimation, impacting diagnostic reliability.
  • Existing correction methods may require modifications to the MRI acquisition sequence, limiting their applicability.

Purpose of the Study:

  • To develop and validate a Dixon-based self-navigation approach for estimating and correcting temporal B0 variations in radial stack-of-stars gradient echo imaging.
  • To assess the impact of B0 variations on field-map, proton density fat fraction (PDFF), and B0 maps.
  • To evaluate the efficacy of the proposed method in correcting both slow B0 drifts and motion-induced B0 variations.

Main Methods:

  • A B0 self-navigator was estimated using a graph-cut-based water-fat separation algorithm on the oversampled k-space center.
  • One-dimensional (1D) correction was applied to address phase differences between radial spokes.
  • Three-dimensional (3D) motion-resolved reconstruction was performed for spatiotemporal B0 variation correction, validated through simulations, phantom experiments, and in vivo neck scans.

Main Results:

  • Temporal B0 variations caused underestimation of B0, while PDFF mapping showed less sensitivity.
  • The B0 self-navigator effectively captured slow drifts and respiratory motion-induced variations.
  • While 1D correction sufficed for phantom studies, 3D correction was necessary in vivo to address spatially varying B0 changes, improving field-map and B0 accuracy and reducing artifacts.

Conclusions:

  • Temporal B0 variations critically impact B0 mapping in radial stack-of-stars imaging, particularly in the presence of fat.
  • The developed self-navigation approach allows for B0 correction without altering MR acquisition protocols.
  • This method effectively corrects B0 drift and physiological motion-induced B0 variations, enhancing quantitative accuracy in body MRI.