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Water/fat separation for self-navigated diffusion-weighted multishot echo-planar imaging.

Yiming Dong1, Malte Riedel2, Kirsten Koolstra3

  • 1C. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

NMR in Biomedicine
|August 28, 2022
PubMed
Summary
This summary is machine-generated.

A new self-navigation strategy enhances water/fat-separated diffusion-weighted imaging. This method improves scan efficiency and image quality for multishot echo-planar imaging (ms-EPI) by reducing artifacts and improving fat suppression.

Keywords:
MUSEchemical shift encodingdiffusionmultishot EPIself-navigation

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Area of Science:

  • Magnetic Resonance Imaging
  • Medical Imaging Physics
  • Biomedical Engineering

Background:

  • Multishot echo-planar imaging (ms-EPI) offers improved geometric distortion and signal-to-noise ratio for diffusion-weighted imaging compared to single-shot methods.
  • Physiological motion necessitates shot-to-shot phase error correction in ms-EPI, typically via external navigators or self-navigation.
  • Effective fat suppression is crucial, particularly in areas with magnetic field (B0) inhomogeneity, making chemical shift encoding valuable.

Purpose of the Study:

  • To develop a self-navigation strategy for optimizing scan efficiency and image quality in water/fat-separated, diffusion-weighted ms-EPI.
  • To enable direct k-space data reconstruction using a chemical shift-encoded diffusion-weighted signal model.
  • To address challenges in ms-EPI phase navigation caused by fat signal displacement.

Main Methods:

  • A novel model-based, self-navigated water/fat separation reconstruction algorithm was developed.
  • Chemical shift-encoded diffusion-weighted data were acquired.
  • The algorithm was validated through experiments on 10 subjects in leg and head-neck regions, comparing it against 2D navigated and conventional fat saturation methods.

Main Results:

  • The self-navigation approach reduced ms-EPI shot duration by 30%-35% compared to 2D navigated methods.
  • Improved diffusion-weighted water images were achieved in both leg and head-neck regions versus the 2D navigator-based approach.
  • Superior fat suppression was observed in B0 inhomogeneous regions compared to conventional fat saturation techniques.

Conclusions:

  • The proposed self-navigated reconstruction algorithm yields superior water-only diffusion-weighted EPI images.
  • The method effectively reduces artifacts and enhances fat suppression in ms-EPI.
  • This technique offers a significant improvement over existing water/fat separation methods for diffusion-weighted imaging.