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Two methods, large FOV (LF) and estimation-subtraction (ES), effectively reduce spiral aliasing artifacts in real-time MRI. The ES method proved more effective and time-efficient for midsagittal speech imaging.

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging

Background:

  • Spiral real-time MRI is prone to aliasing artifacts originating from signals outside the field of view (FOV).
  • These artifacts are particularly problematic in midsagittal views during speech production imaging.

Purpose of the Study:

  • To identify the cause of spiral aliasing artifacts in real-time MRI.
  • To propose and evaluate two novel methods for mitigating these artifacts: large FOV (LF) and estimation-subtraction (ES).

Main Methods:

  • Simulations were conducted to pinpoint the artifact's origin.
  • The LF method involves reconstructing with a larger FOV to encompass artifact sources.
  • The ES method estimates and subtracts artifact signals from multicoil k-space data.

Main Results:

  • Artifact origin identified as gradient nonlinearity and imperfect spiral anti-aliasing.
  • Both LF and ES methods significantly reduced artifacts, improving Likert scores by 1.25 and 1.35 levels, respectively.
  • Reconstruction times: baseline (160.69 ms), LF (526.43 ms), ES (171.47 ms).

Conclusions:

  • Both LF and ES methods successfully mitigate spiral aliasing artifacts.
  • The estimation-subtraction (ES) method offers superior artifact reduction and is more time-efficient than the large FOV (LF) approach.