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Self-navigation for 3D multishot EPI with data-reference.

Steen Moeller1,2, Sudhir Ramanna1,2, Christophe Lenglet1,2

  • 1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.

Magnetic Resonance in Medicine
|March 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a self-navigation strategy for faster 3D diffusion-weighted echo planar imaging (EPI) acquisition. The method improves image quality and stability, enabling higher resolution scans without external navigators.

Keywords:
3D EPISQUASHERdMRIdiffusionhigh resolutionnavigator correction

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Magnetic Resonance Imaging

Background:

  • Diffusion-weighted imaging (DWI) is crucial for neuroimaging.
  • 3D multishot echo planar imaging (EPI) offers advantages but faces challenges with acquisition time and motion correction.
  • Current methods often rely on external navigators, adding complexity and time.

Purpose of the Study:

  • To develop a self-navigation strategy for improving diffusion-weighted 3D multishot EPI reconstruction.
  • To eliminate the need for 2D navigators, thereby accelerating acquisition.
  • To enhance the efficiency and stability of 3D EPI scans.

Main Methods:

  • Implemented a novel self-navigation method to extract phase correction information directly from the 3D EPI acquisition.
  • Conducted in-vivo 3T MRI scans at 0.9 mm and 1.5 mm isotropic resolutions.
  • Evaluated performance under motion and validated tractography results against conventional methods.

Main Results:

  • Achieved comparable or higher signal-to-noise ratio (SNR) in 3D EPI compared to 2D acquisitions for whole-brain coverage.
  • Demonstrated stability of the self-navigation technique under inter-volume motion.
  • Enabled higher resolution (0.9 mm^3) DWI with improved tractography, clearly delineating specific white matter tracts.

Conclusions:

  • The proposed self-navigation approach is efficient and stable for 3D diffusion-weighted acquisitions.
  • This method allows for faster acquisition of 3D multishot EPI, beneficial for large fields of view and higher resolutions.
  • Self-navigation enhances the utility of 3D EPI for advanced neuroimaging applications.