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Phase correction for three-dimensional (3D) diffusion-weighted interleaved EPI using 3D multiplexed sensitivity

Hing-Chiu Chang1, Edward S Hui1,2, Pui-Wai Chiu1,2

  • 1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong.

Magnetic Resonance in Medicine
|September 24, 2017
PubMed
Summary
This summary is machine-generated.

The new 3D-MUSER algorithm corrects 3D phase variations in diffusion-weighted echo planar imaging (DW-EPI), significantly reducing artifacts and improving image quality for advanced MRI applications.

Keywords:
3D diffusion-weighted imaging3D interleaved EPI3D phase correctionmultiplexed sensitivity encoding

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Area of Science:

  • Magnetic Resonance Imaging
  • Image Reconstruction
  • Diffusion-Weighted Imaging

Background:

  • Diffusion-weighted echo planar imaging (DW-EPI) is susceptible to aliasing artifacts and signal corruption.
  • Inter-shot three-dimensional (3D) phase variations are a major cause of these artifacts in 3D DW-EPI.
  • Existing methods struggle to effectively correct these 3D phase variations.

Purpose of the Study:

  • To introduce and evaluate the three-dimensional multiplexed sensitivity encoding and reconstruction (3D-MUSER) algorithm.
  • To address and correct inter-shot 3D phase variations in 3D DW-EPI.
  • To improve image quality and reduce artifacts in 3D DW-EPI.

Main Methods:

  • Developed the 3D-MUSER algorithm, extending the multiplexed sensitivity encoding (MUSE) framework.
  • Implemented a hybrid k-space-based reconstruction approach.
  • Utilized a 3D single-shot EPI navigator echo to measure inter-shot 3D phase variations.
  • Evaluated performance using point-spread function (PSF), signal-to-noise ratio (SNR), and artifact level analyses.

Main Results:

  • Simulations confirmed 3D-MUSER eliminates through-slab phase variation artifacts and reduces noise amplification.
  • The algorithm successfully reduced aliasing artifacts and signal corruption across various slab thicknesses and b-values.
  • Demonstrated high-quality, near-whole brain 3D diffusion tensor imaging (DTI) with 1.3-mm isotropic voxels at 1.5T.

Conclusions:

  • 3D-MUSER enables effective 3D phase correction for 3D interleaved DW-EPI data.
  • The algorithm improves the feasible slab thickness and maximum feasible b-value for 3D DW-EPI.
  • This advancement enhances the diagnostic utility of 3D DW-EPI in MRI.