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Fat/water separation using a concentric rings trajectory.

Hochong H Wu1, Jin Hyung Lee, Dwight G Nishimura

  • 1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California 94305-9510, USA. hochong@stanford.edu

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This study introduces new algorithms for fat-water separation in concentric rings MRI. These methods improve in vivo imaging by reducing artifacts and enhancing signal-to-noise ratio (SNR).

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • Concentric rings k-space trajectories offer flexible trade-offs in MRI but struggle with fat signal interference.
  • Existing multipoint Dixon techniques are effective for Cartesian imaging but face challenges with fat off-resonance artifacts in non-Cartesian trajectories.

Purpose of the Study:

  • To develop robust fat-water separation algorithms for concentric rings MRI.
  • To address blurring artifacts caused by fat off-resonance in non-Cartesian imaging.
  • To improve in vivo imaging quality and efficiency using novel reconstruction methods.

Main Methods:

  • Developed two fat-water separation algorithms tailored for concentric rings trajectories.
  • Utilized a retracing k-space sampling design to capture fat-water phase evolution.
  • Extended multipoint Dixon reconstruction to a spectroscopic approach accounting for 3D k-t space evolution.

Main Results:

  • Off-resonance effects were translated to frequency shifts rather than spatial blurring in 2D k-space.
  • Spectral information enabled field variation assessment and robust fat-water separation.
  • In vivo experiments confirmed the effectiveness of the developed algorithms.

Conclusions:

  • The proposed algorithms effectively separate fat and water signals in concentric rings MRI.
  • These methods overcome limitations of previous techniques for non-Cartesian imaging.
  • The study demonstrates improved fat suppression and SNR efficiency for in vivo applications.