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Related Concept Videos

Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Quantitative muscle water T2 mapping using RF phase-modulated 3D gradient echo imaging.

Eléonore Vermeulen1, Pierre-Yves Baudin1, Marc Lapert2

  • 1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.

Magnetic Resonance in Medicine
|May 6, 2025
PubMed
Summary
This summary is machine-generated.

A new 3D MRI sequence accurately estimates water T2 in skeletal muscles, even with motion. This method improves characterization of muscle tissue and is suitable for clinical research.

Keywords:
MRImuscle imagingradiofrequency spoilingwater T2

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Musculoskeletal Imaging

Background:

  • Water T2 relaxation time is a crucial biomarker for skeletal muscle tissue characterization.
  • Accurate T2 estimation is challenging in skeletal muscles due to motion and B1 field inhomogeneities.
  • Existing methods often lack the speed and robustness required for in vivo applications.

Purpose of the Study:

  • To develop and validate a motion-robust 3D magnetic resonance imaging (MRI) sequence for accurate water T2 estimation in skeletal muscles.
  • To assess the sequence's performance in phantoms and in vivo, including its ability to account for confounding factors like B1 variations and fat content.

Main Methods:

  • A partially spoiled gradient echo (pSPGR) sequence was employed, acquiring 10 image volumes with varied RF phase-cycling and flip angles.
  • A bi-component water/fat model was used to fit the complex signal evolution, extracting T2 values while correcting for B1 and fat fraction.
  • The sequence was implemented in both Cartesian and radial trajectories, with validation through numerical simulations, phantom studies, and in vivo experiments on thigh and tongue muscles.

Main Results:

  • Phantom studies showed high correlation (R² > 0.8) between the proposed method and reference spectroscopy/multi-spin echo techniques.
  • In vivo, T2 values correlated well with reference methods in healthy (R² = 0.69) and pathological muscles (R² = 0.87), demonstrating robustness to B1 inhomogeneities (R² = 0.06).
  • The radial implementation significantly reduced the standard deviation of T2 values in the tongue muscle by 28% compared to the Cartesian approach.

Conclusions:

  • The proposed 3D sequence enables efficient and accurate water T2 estimation in skeletal muscles, including small, moving structures like the tongue.
  • This technique expands the potential for characterizing heterogeneous muscle impairments.
  • The method's compatibility with clinical research durations makes it a valuable tool for muscle tissue assessment.