Dual-echo spiral in/in acquisition method for reducing magnetic susceptibility artifacts in

Tie-Qiang Li1, Atsushi Takahashi, Yang Wang

  • 1Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disease and Stroke, Nation Institutes of Health, Bethesda, Maryland 20892, USA. litie@ninds.nih.gov

Insights

Dual-echo spiral in/in (DSPIN) trajectories significantly reduce MRI signal dropout in functional MRI (fMRI), improving brain activation detection in challenging regions. This method enhances signal-to-noise ratio without compromising speed or resolution.

Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Gradient recalled echo acquisitions in fMRI suffer from signal dropout in brain regions with magnetic susceptibility variations, limiting studies of orbitofrontal, temporal, and basal areas.
  • Spiral in/out trajectories offer an efficient solution to mitigate signal dropout in fMRI.

Purpose of the Study:

  • To extend the spiral in/out approach to 3D acquisition for fMRI.
  • To compare the effectiveness of different spiral in/out trajectory combinations in reducing signal dropout.
  • To identify the optimal spiral trajectory for whole-brain fMRI studies.

Main Methods:

  • Development and implementation of 3D spiral in/out acquisition trajectories.
  • Comparison of dual-echo spiral in/in (DSPIN) with other spiral trajectories.
  • fMRI studies using complex finger tapping and breath-holding tasks to assess activation in whole brain.
  • Evaluation of signal dropout reduction, signal-to-noise ratio (SNR), and functional contrast.

Main Results:

  • The dual-echo spiral in/in (DSPIN) trajectory demonstrated superior performance in reducing signal dropout in brain regions with magnetic susceptibility inhomogeneity.
  • DSPIN significantly improved sensitivity for detecting functional activations in problematic brain areas.
  • Dual echo averaging in DSPIN enhanced whole-brain SNR without compromising functional contrast.
  • DSPIN maintained time-efficiency and spatial resolution compared to other methods.

Conclusions:

  • The DSPIN acquisition method is highly effective for whole-brain fMRI, significantly reducing signal dropout and improving activation detection.
  • DSPIN offers enhanced SNR and maintains efficiency, making it a favorable technique for studying brain function, particularly in challenging regions.
  • This advancement in fMRI acquisition holds promise for more comprehensive investigations of brain activity.