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3D interslab echo-shifted FLASH sequence for susceptibility weighted imaging.

Ya-Jun Ma1,2, Wentao Liu1,2, Xuna Zhao1,2

  • 1Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Magnetic Resonance in Medicine
|August 25, 2015
PubMed
Summary

A new 3D sequence for susceptibility weighted imaging significantly cuts scan time by half while maintaining high signal-to-noise ratio (SNR). This fast T2*-weighted imaging offers improved efficiency over traditional methods.

Keywords:
echo shiftingfast T2*-weighted sequenceinterslab scan mode

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics

Background:

  • Susceptibility weighted imaging (SWI) is crucial for visualizing various tissue properties.
  • Conventional 3D SWI sequences often require long scan times, limiting clinical applicability.
  • Improving scan efficiency without compromising image quality is a key challenge in MRI.

Purpose of the Study:

  • To develop a novel three-dimensional (3D) sequence for susceptibility weighted imaging.
  • The goal was to substantially reduce scan time while preserving a high image signal-to-noise ratio (SNR).

Main Methods:

  • A fast T2*-weighted sequence was designed using a 3D full-balanced gradient frame and crusher gradients.
  • Crusher gradients shifted MR signals to enhance T2* weighting.
  • An interslab scan mode was implemented to prevent SNR loss from repeated RF excitations, unlike typical echo-shifted (ES) FLASH sequences.

Main Results:

  • The proposed interslab ES T2*-weighted sequence achieved scan times reduced by 50%.
  • Image SNR was comparable to typical multislab FLASH sequences.
  • The novel sequence demonstrated higher image SNR than traditional multislab ES-FLASH and greater flexibility than whole-volume ES-FLASH.

Conclusions:

  • A novel interslab ES sequence was successfully developed.
  • This sequence offers high time efficiency and superior image SNR compared to conventional acquisition methods.
  • The findings suggest this sequence is a valuable advancement for susceptibility weighted imaging.