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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Fast quantitative MRI using controlled saturation magnetization transfer.

Rui Pedro A G Teixeira1,2, Shaihan J Malik1, Joseph V Hajnal1,2

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Magnetic Resonance in Medicine
|September 27, 2018
PubMed
Summary
This summary is machine-generated.

Magnetization transfer (MT) effects compromise relaxometry measurements. A new controlled saturation magnetization transfer (CSMT) framework allows single-pool models to be valid in 2-pool MT systems, enabling reliable quantitative imaging.

Keywords:
DESPOTJSRMTVFArelaxometrysteady-state

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Area of Science:

  • Magnetic Resonance Imaging
  • Quantitative Relaxometry
  • Biophysical Modeling

Background:

  • Magnetization transfer (MT) effects are known to influence relaxometry measurements in biological tissues.
  • Conventional single-pool relaxometry models, while efficient, can yield unreliable parameter estimates due to unaddressed MT effects.
  • Existing methods often struggle to accurately account for the complexities of 2-pool MT systems in quantitative imaging.

Purpose of the Study:

  • To demonstrate how magnetization transfer (MT) effects directly impact relaxometry measurements.
  • To develop and validate a theoretical framework that enables single-pool models to be applicable within 2-pool MT systems.
  • To introduce a practical method for controlled saturation magnetization transfer (CSMT) to improve quantitative imaging accuracy.

Main Methods:

  • A theoretical framework was established where a 2-pool MT system behaves as a single-pool under fixed RMS RF magnetic field conditions.
  • A practical method utilizing multiband RF pulses for controlled saturation magnetization transfer (CSMT) was proposed.
  • Numerical simulations, phantom studies, and in vivo experiments were conducted to validate the CSMT approach against conventional steady-state (SS) estimation methods.

Main Results:

  • Numerical simulations predicted inconsistencies and T2 underestimation with standard single-pool methods, which were not observed with the CSMT approach.
  • Phantom and in vivo experiments confirmed numerical predictions, showing stable T1 and T2 measurements using CSMT.
  • Experimental data revealed that without CSMT, relaxometry estimates varied with flip angles and TRs, highlighting the importance of controlled saturation.

Conclusions:

  • Conventional single-pool relaxometry is unreliable for biological tissues due to MT effects.
  • The proposed CSMT framework validates single-pool assumptions in the presence of MT effects.
  • CSMT enables reliable and efficient quantitative imaging, making it suitable for human studies.