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Related Experiment Videos

Single-shot GRASE imaging with short effective TEs

G Johnson1, D A Feinberg, V Venkataraman

  • 1Department of Radiology, New York University Medical Center, NY 10016, USA.

Journal of Magnetic Resonance Imaging : JMRI
|November 1, 1996
PubMed
Summary
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A novel centric phase-encoding scheme for gradient- and spin-echo (GRASE) imaging significantly reduces echo time and enhances signal-to-noise ratios. This advanced technique improves brain imaging quality and has applications in diffusion and velocity imaging.

Area of Science:

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

Background:

  • Gradient- and spin-echo (GRASE) imaging is a vital MRI technique.
  • Conventional GRASE methods often involve sequential phase encoding, leading to longer echo times (TE).
  • Longer TEs can degrade image quality and limit applications like diffusion imaging.

Purpose of the Study:

  • To introduce a new phase-encoding scheme for GRASE imaging.
  • To reduce the effective echo time (TE) in GRASE sequences.
  • To improve signal-to-noise ratios (SNRs) and expand imaging applications.

Main Methods:

  • Developed a centric phase-encoding order for GRASE imaging, differing from traditional sequential methods.
  • Implemented the sequence in single-shot acquisitions utilizing high-performance gradients.

Related Experiment Videos

  • Acquired approximately 144 phase-encoding lines within a 390 ms echo train time.

    • Main Results:

    • Achieved a significantly shorter effective TE of 8 ms with centric encoding, compared to 75 ms with sequential encoding.
    • Observed 50-70% higher signal-to-noise ratios (SNRs) in brain tissue using the new scheme.
    • Demonstrated the feasibility of acquiring numerous phase-encoding lines rapidly.

    Conclusions:

    • The novel centric phase-encoding scheme offers substantial improvements in GRASE imaging efficiency and quality.
    • Reduced TE and enhanced SNR make the sequence highly suitable for advanced applications.
    • This technique holds promise for improved diffusion and velocity imaging.