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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Segmented diffusion imaging with iterative motion-corrected reconstruction (SEDIMENT) for brain echo-planar imaging.

Malte Steinhoff1, Kay Nehrke2, Alfred Mertins1

  • 1Institute for Signal Processing, University of Lübeck, Lübeck, Germany.

NMR in Biomedicine
|December 10, 2019
PubMed
Summary
This summary is machine-generated.

Segmented diffusion imaging with iterative motion-corrected reconstruction (SEDIMENT) enhances diffusion-weighted imaging quality by correcting phase variations and motion artifacts. This novel approach improves image resolution and signal-to-noise ratio for better diagnostic accuracy.

Keywords:
EPISENSEbrainmodel-based image reconstructionmotion correctionmulti-shot DWI

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Image Reconstruction

Background:

  • Multi-shot diffusion-weighted imaging (DWI) offers superior resolution and signal-to-noise ratio (SNR).
  • However, multi-shot DWI is susceptible to phase variations and macroscopic motion between shots.
  • Existing motion correction methods struggle with robust macroscopic motion estimation.

Purpose of the Study:

  • To introduce and evaluate the Segmented Diffusion Imaging with Iterative Motion-Corrected Reconstruction (SEDIMENT) framework.
  • To address phase and rigid in-plane motion artifacts in segmented DWI.
  • To improve the robustness and convergence of DWI reconstruction.

Main Methods:

  • SEDIMENT utilizes iteratively refined, data-driven shot navigators based on sensitivity encoding (SENSE).
  • The iterative reconstruction scheme was compared against a non-iterative reference algorithm.
  • Evaluations were performed using both simulations and in vivo data for echo-planar imaging (EPI) with up to sixfold segmentation.

Main Results:

  • SEDIMENT effectively corrects phase variations and rigid in-plane motion artifacts.
  • The iterative approach demonstrated superior performance compared to the non-iterative reference.
  • The framework supports partial Fourier acquisitions and incorporates data rejection and learning-based modules.

Conclusions:

  • SEDIMENT provides a robust solution for motion and phase correction in segmented DWI.
  • The method enhances image quality, offering improved resolution and SNR.
  • SEDIMENT shows potential for more reliable and accurate diffusion MRI.