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Isolating quantum coherences in structural imaging using intermolecular double-quantum coherence MRI.

Chih-Liang Chin1, Xiaoping Tang, Louis-S Bouchard

  • 1Department of Radiology, University of Pennsylvania Medical Center, Philadelphia, PA 19104-4283, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|December 4, 2003
PubMed
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Intermolecular multiple-quantum coherence (iMQC) MRI offers new insights into tissue microstructure. A novel imaging sequence effectively isolates specific quantum coherence signals, enabling detailed analysis of trabecular bone architecture.

Area of Science:

  • Magnetic Resonance Imaging
  • Biophysics
  • Medical Imaging

Background:

  • Intermolecular multiple-quantum coherence (iMQC) MRI offers a unique contrast mechanism for probing tissue microstructure.
  • iMQC imaging relies on tuning correlation gradients to reveal structural details.
  • A key challenge is isolating desired quantum coherence signals from contaminating leakage from other coherence orders (zero, single, and triple).

Purpose of the Study:

  • To develop and validate a method for isolating specific intermolecular multiple-quantum coherence signals in MRI.
  • To demonstrate the ability of the proposed method to provide detailed information on trabecular bone architecture.

Main Methods:

  • A modified double-quantum CRAZED imaging sequence was employed.
  • A four-step phase cycling scheme and specific flip angles were used for signal isolation.

Related Experiment Videos

  • Signals from different coherence orders (M=0, 1, 2, 3) were predicted in k-space and separated.

    • Main Results:

    • The developed method effectively isolates signals from various quantum coherence orders.
    • The technique successfully distinguishes between desired and undesired coherence signals.
    • Preliminary data indicate the potential for quantitative assessment of trabecular bone architecture, including mean trabecular plate separation.

    Conclusions:

    • The modified double-quantum CRAZED sequence with phase cycling provides effective isolation of iMQC signals.
    • This technique overcomes signal contamination from other coherence orders.
    • The method shows promise for non-invasively characterizing trabecular bone microstructure.