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Pseudo multishot echo-planar imaging for geometric distortion improvement.

Hao Chen1,2, Ke Dai1, Jianfeng Bao3

  • 1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

NMR in Biomedicine
|December 1, 2022
PubMed
Summary

Pseudo multishot EPI (pmsEPI) reduces geometric distortion in echo-planar imaging (EPI) by segmenting k-space acquisition within a single shot. This novel method significantly decreases distortion compared to conventional EPI, offering improved image quality for MRI applications.

Keywords:
EPIdistortionmultishot

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Area of Science:

  • Magnetic Resonance Imaging
  • Image Reconstruction
  • Neuroimaging

Background:

  • Conventional echo-planar imaging (EPI) suffers from geometric distortion due to off-resonance and T2* decay.
  • Multishot EPI methods reduce distortion but increase scan time and motion sensitivity.
  • Existing EPI techniques face trade-offs between distortion reduction and acquisition efficiency.

Purpose of the Study:

  • To introduce and evaluate a novel "pseudo multishot" EPI (pmsEPI) method.
  • To reduce geometric distortion in EPI images acquired within a single shot.
  • To assess the performance of pmsEPI in phantom and in vivo brain imaging.

Main Methods:

  • Developed pmsEPI, segmenting phase-encoding lines within a single shot using interleaved excitation.
  • Collected k-space data in segments to limit phase error accumulation per segment.
  • Validated pmsEPI on a 3-T scanner using phantom and in vivo human brain data.

Main Results:

  • pmsEPI reduced distortion by 50% (2 pseudo shots) and 66% (3 pseudo shots) compared to conventional EPI.
  • The method demonstrated effectiveness in diffusion-weighted imaging with flexible trajectory options.
  • Magnetization splitting in pmsEPI led to >40% SNR loss and minor artifacts.

Conclusions:

  • pmsEPI effectively reduces geometric distortion in single-shot EPI acquisition.
  • The method offers a promising alternative for high-quality EPI imaging, particularly in diffusion MRI.
  • Further optimization is needed to mitigate SNR loss and artifacts associated with magnetization splitting.