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Overlap-Kernel EPI: Estimating MRI Shot-to-Shot Phase Variations by Shifted-Kernel Extraction From Overlap Regions at

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  • 1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.

Magnetic Resonance in Medicine
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A novel self-navigation strategy for multi-shot EPI MRI robustly estimates phase inconsistencies using shift-invariant kernel extraction. This method effectively corrects artifacts in diffusion scans, improving image quality and enabling advanced imaging techniques.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction
  • Medical Physics

Background:

  • Multi-shot Echo Planar Imaging (EPI) is susceptible to shot-dependent phase fluctuations, causing ghost artifacts that degrade image quality, especially in diffusion-weighted imaging.
  • These artifacts limit the benefits of EPI for high-resolution imaging and distortion reduction.
  • Existing self-navigation techniques have limitations in trajectory flexibility and application scope.

Purpose of the Study:

  • To introduce a novel self-navigation strategy for multi-shot EPI MRI to robustly estimate and correct phase inconsistencies.
  • To enable artifact reduction and enhance image quality in diffusion scans and other applications.
  • To extend the capabilities of self-navigation beyond conventional methods.

Main Methods:

  • A self-navigation strategy based on shift-invariant kernel extraction is proposed, utilizing overlapping k-space regions between shots.
  • GRAPPA/ESPIRiT-type operations are applied to extract shot-dependent signal variation maps in a single step.
  • The method is demonstrated in various 2D SE-EPI and GE-EPI sequences, including mosaic EPI.

Main Results:

  • Successful demonstration of kernel extraction techniques for phase correction in multi-shot EPI sequences.
  • Achieved reconstruction quality comparable to or better than traditional navigator corrections, with improved robustness.
  • Effective removal of shot-dependent eddy currents in multi-shot mosaic EPI, with higher signal-to-noise ratio (SNR) in self-navigated auto-calibrating regions.

Conclusions:

  • The proposed method significantly broadens the concept of self-navigation in MRI.
  • It offers a robust and flexible approach for phase stabilization in multi-shot EPI.
  • Provides a deeper understanding of the relationship between signal fluctuation calibration in EPI and RF sensitivity calibration in parallel imaging.