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Automatic high-order shimming using parallel columns mapping (PACMAP).

Yan Zhang1, Shizhe Li, Jun Shen

  • 1Spectroscopy Core Facility, National Institute of Mental Health (NIMH), National Institutes of Health, Bethesda, Maryland 20892-1527, USA.

Magnetic Resonance in Medicine
|August 1, 2009
PubMed
Summary
This summary is machine-generated.

A new automatic high-order shimming method effectively maps the B(0) field using parallel columns. This technique optimizes magnetic field correction for improved MRI slice quality, regardless of orientation.

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Area of Science:

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

Background:

  • Magnetic field inhomogeneity (B(0) inhomogeneity) is a significant challenge in MRI.
  • Accurate shimming is crucial for high-resolution imaging and quantitative MRI.
  • Existing shimming methods may be time-consuming or limited in their ability to correct higher-order field distortions.

Purpose of the Study:

  • To develop and validate a novel automatic high-order shimming method for MRI.
  • To enable efficient and accurate mapping of the B(0) field.
  • To reduce magnetic field inhomogeneity in the region of imaging slices.

Main Methods:

  • A new automatic high-order shimming method utilizing a group of parallel columns to map the B(0) field.
  • Incorporation of multiple stimulated echoes technique for field mapping.
  • Spherical harmonics rotation transformation for converting shim currents between logic and physical frames, ensuring slice orientation independence.

Main Results:

  • A pair of four columns in two separate slices can determine optimal third-order spherical harmonic correction fields.
  • The method allows field mapping using at least eight shots.
  • Demonstrated effectiveness on a 3T scanner with second-order harmonic shim coils on both phantom and in vivo data.

Conclusions:

  • The developed high-order shimming method is effective and efficient for reducing field inhomogeneity.
  • The technique is robust and applicable to various slice orientations.
  • This advancement has the potential to improve image quality and quantitative accuracy in MRI.