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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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SENSE shimming (SSH): A fast approach for determining B(0) field inhomogeneities using sensitivity coding.

D N Splitthoff1, M Zaitsev

  • 1Medical Physics, Department of Diagnostic Radiology, University Hospital Freiburg, Freiburg, Germany. daniel.splitthoff@ukl.uniklinik-freiburg.de

Magnetic Resonance in Medicine
|September 26, 2009
PubMed
Summary

This study introduces SENSE shimming (SSH), a novel method using coil sensitivity data instead of gradients to map magnetic field (B(0)) variations. SSH effectively detects field inhomogeneities for improved MRI.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • High-field MRI and rapid acquisition necessitate advanced coil arrays with numerous elements.
  • Sensitivity Encoding (SENSE) utilizes coil sensitivities for spatial encoding in MRI.
  • Existing methods often rely on encoding gradients for spatial information.

Purpose of the Study:

  • To present a proof-of-principle for a gradient-free method for B(0) field inhomogeneity mapping.
  • To introduce "SENSE shimming" (SSH) as an extreme application of the SENSE principle.
  • To demonstrate the utility of sensitivity-encoded free-induction decay (FID) data for field mapping.

Main Methods:

  • Developed a method termed "SENSE shimming" (SSH) that omits encoding gradients.
  • Utilized sensitivity information from high-element coil arrays.
  • Applied SSH to phantom experiments to assess B(0) field inhomogeneity.

Main Results:

  • Successfully demonstrated the capability of SSH to detect B(0) field inhomogeneities.
  • The method showed sensitivity to inhomogeneities up to the second order.
  • SSH provides a novel approach to characterizing magnetic field variations without traditional gradients.

Conclusions:

  • SENSE shimming (SSH) offers a gradient-free alternative for mapping B(0) field inhomogeneities.
  • The technique leverages coil sensitivity data, extending the SENSE methodology.
  • SSH shows promise for characterizing magnetic field uniformity in MRI systems.