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Efficient phase-cycling strategy for high-resolution 3D gradient-echo quantitative parameter mapping.

Qi Peng1, Can Wu2, Jeehun Kim3

  • 1GRUSS Magnetic Resonance Research Center (MRRC), Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.

NMR in Biomedicine
|January 24, 2022
PubMed
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A new unpaired phase cycling (PC) strategy eliminates T1 recovery signal contamination in quantitative parameter mapping, halving scan time without sacrificing accuracy. This advance offers improved flexibility for Magnetic Resonance Imaging (MRI) optimization.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative Parameter Mapping
  • Biomedical Engineering

Background:

  • Magnetization-prepared (MP) gradient-echo (GRE) sequences are prone to T1 recovery signal contamination during readout.
  • Traditional paired RF phase cycling (PC) eliminates this but doubles scan time, limiting high-resolution quantitative mapping.
  • Developing efficient methods to remove signal contamination is crucial for accurate MRI parameter mapping.

Purpose of the Study:

  • To develop and validate a novel unpaired PC strategy for 3D MP-GRE sequences.
  • To eliminate the time penalty associated with paired PC for quantitative parameter mapping.
  • To assess the accuracy and reproducibility of the novel unpaired PC strategy compared to traditional methods.

Main Methods:

Keywords:
MP-GRET1ρartifact correctioncomplex-valued dataphase cyclingquantitative MRIspin-locking

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  • Four new unpaired PC schemes were developed and compared with two paired PC schemes.
  • Evaluations were conducted using phantom and in vivo human knee studies at 3T.
  • A MP angle-modulated partitioned k-space spoiled gradient-echo snapshots (MAPSS) T1ρ mapping sequence was utilized.
  • Main Results:

    • Unpaired PC schemes demonstrated comparable or improved quantitative accuracy and scan-rescan reproducibility versus paired PC.
    • No significant increase in T1ρ quantitative variability or loss of spatial fidelity was observed with unpaired PC.
    • Unpaired PC schemes showed potential for reduced sensitivity to B0 field inhomogeneities.

    Conclusions:

    • The developed unpaired PC strategy effectively eliminates T1 recovery signal contamination in quantitative parameter mapping.
    • This novel approach halves scan time compared to paired PC, enabling more accurate mapping.
    • The unpaired PC strategy offers enhanced flexibility for optimizing signal-to-noise ratio, spatial resolution, and imaging parameters.