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Correction of phase errors in quantitative water-fat imaging using a monopolar time-interleaved multi-echo gradient

Stefan Ruschke1, Holger Eggers2, Hendrik Kooijman3

  • 1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.

Magnetic Resonance in Medicine
|November 1, 2016
PubMed
Summary
This summary is machine-generated.

A new phase error correction method improves proton density fat fraction (PDFF) measurements in water-fat imaging. This technique ensures accurate and robust PDFF quantification, essential for reliable medical assessments.

Keywords:
chemical shift encoding-based water-fat separationcomplex-based water-fat separationconcomitant gradient fieldecho misalignmentsfat quantificationphase correctionproton density fat fraction (PDFF)

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Quantitative Imaging

Background:

  • Accurate quantification of proton density fat fraction (PDFF) is crucial for diagnosing and monitoring various medical conditions.
  • Existing water-fat imaging techniques can be susceptible to phase errors, compromising PDFF measurement accuracy.
  • Time-interleaved multi-echo gradient echo sequences are sensitive to phase inconsistencies between echo trains.

Purpose of the Study:

  • To develop and validate a phase error correction scheme for monopolar time-interleaved multi-echo gradient echo water-fat imaging.
  • To enable accurate and robust complex-based quantification of PDFF.

Main Methods:

  • A three-step phase correction strategy was proposed to address echo misalignments, concomitant gradient fields, and inter-echo train phase offsets.
  • Simulations were used to evaluate PDFF bias from concomitant gradients and phase offset estimation.
  • Phantom experiments and in vivo imaging (liver, thigh) were conducted to assess the correction scheme's impact on PDFF accuracy and robustness.

Main Results:

  • Simulations, phantom, and in vivo results confirmed echo time-dependent PDFF bias caused by phase errors.
  • The proposed phase correction scheme effectively mitigated these biases.
  • Accurate PDFF estimation was achieved regardless of the echo time combinations used.

Conclusions:

  • The developed phase error correction scheme significantly enhances the accuracy and robustness of complex-based time-interleaved water-fat imaging.
  • This method provides reliable PDFF measurements, advancing quantitative MRI applications.