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Phase labeling using sensitivity encoding (PLUS): data acquisition and image reconstruction for geometric distortion

Udomchai Techavipoo1, John Lackey, Jianrong Shi

  • 1Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA.

Magnetic Resonance in Medicine
|December 20, 2008
PubMed
Summary

This study introduces a novel method for correcting geometric distortion in echo-planar imaging MRI scans. It eliminates the need for separate field map scans by using phase shifts derived directly from the acquired data, improving accuracy and efficiency.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Image Reconstruction

Background:

  • Fast MRI acquisitions like echo-planar imaging (EPI) are prone to geometric distortion due to magnetic field inhomogeneity.
  • Current distortion correction methods necessitate separate field map scans, risking patient repositioning errors between scans.
  • This invalidates the assumption of a stationary subject, compromising correction accuracy.

Purpose of the Study:

  • To develop a novel, self-sufficient method for correcting geometric distortion in EPI MRI.
  • To eliminate the need for additional field map scans, thereby improving patient comfort and data integrity.
  • To enable accurate distortion correction even with subject motion between scans.

Main Methods:

  • A new method derives local phase shifts directly from the EPI measurement itself, avoiding separate field map acquisitions.
  • The technique leverages parallel imaging and k-space trajectory modification to generate multiple images from a single scan.
  • Sensitivity maps for parallel imaging reconstruction are also derived from the primary measurement.

Main Results:

  • The proposed method successfully corrected geometric distortion using only the primary MR acquisition data.
  • Demonstrated effectiveness in both phantom studies and human brain imaging.
  • Eliminated the need for separate field map scans, addressing the stationary condition limitation.

Conclusions:

  • The developed method offers a robust and efficient solution for geometric distortion correction in EPI MRI.
  • This self-sufficient approach enhances the reliability of fast MRI scans by removing the need for extra scans.
  • The technique holds significant potential for improving the accuracy and practicality of accelerated MRI acquisition protocols.