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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Multiple-echo steady-state (MESS): Extending DESS for joint T2 mapping and chemical-shift corrected water-fat

Frank Zijlstra1,2, Peter R Seevinck1,3

  • 1Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.

Magnetic Resonance in Medicine
|July 16, 2021
PubMed
Summary
This summary is machine-generated.

The multiple-echo steady-state (MESS) sequence enables robust water-fat separation comparable to existing methods, without increasing scan time. This advanced MRI technique offers a promising alternative for improved imaging.

Keywords:
DESSMR valueT2 quantificationmulti-echowater-fat separation

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Area of Science:

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

Background:

  • Double echo steady-state (DESS) sequences are widely used in MRI.
  • Accurate water-fat separation is crucial for quantitative MRI analysis.
  • Existing methods often require water-selective excitation, increasing scan time or complexity.

Purpose of the Study:

  • To extend the DESS sequence for chemical-shift corrected water-fat separation.
  • To introduce the multiple-echo steady-state (MESS) sequence.
  • To evaluate MESS performance against water-selective DESS for cartilage imaging.

Main Methods:

  • Developed the MESS sequence with modified readouts and bipolar gradients.
  • Utilized an iterative fitting approach for joint water-fat separation and T2 estimation.
  • Acquired MESS and water-selective DESS images in five volunteers for comparison.

Main Results:

  • MESS achieved robust water-fat separation comparable in quality to water-selective DESS.
  • T2 estimation with MESS was similar to DESS, with slightly increased variability.
  • Signal-to-noise ratio (SNR) in MESS was comparable to DESS, despite local variations.

Conclusions:

  • MESS provides effective water-fat separation within the same acquisition time as DESS.
  • MESS offers comparable SNR in reconstructed water and fat images.
  • MESS presents a promising alternative to DESS, providing additional image contrasts.