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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
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Magnetic Resonance Imaging Biomarkers of Muscle
1Department of Physics, San Diego State University, San Diego, CA 92182, USA.
Summary
Quantitative MRI (qMRI) techniques for skeletal muscle are reviewed, detailing parameters like T1, proton density fat fraction, T2 mapping, and diffusion tensor imaging. Clinical applications of qMRI in various muscle diseases are also summarized.
Area of Science:
- Biomedical Imaging
- Musculoskeletal Radiology
- Quantitative MRI
Background:
- Skeletal muscle assessment is crucial for diagnosing and managing various neuromuscular disorders.
- Quantitative MRI (qMRI) offers objective, reproducible measures of muscle tissue properties.
- Established MRI techniques lack the specificity to fully characterize muscle pathophysiology.
Purpose of the Study:
- To provide a comprehensive overview of current quantitative MRI techniques for skeletal muscle.
- To discuss the physiological underpinnings and analytical approaches for various qMRI parameters.
- To summarize the clinical utility of qMRI in the context of muscle diseases.
Main Methods:
- Review of established and emerging qMRI techniques including parametric mapping (T1, proton density fat fraction, T2, diffusion tensor imaging).
- Inclusion of advanced methods such as magnetization transfer and strain mapping.
- Discussion of image processing, analysis, and application in normal subjects.
Main Results:
- Detailed explanation of qMRI parameters, their relation to muscle physiology/pathophysiology, and imaging sequences.
- Coverage of techniques from morphometrics and fat fraction to diffusion and macromolecular fraction.
- Demonstration of qMRI's utility across a spectrum of muscle disease states.
Conclusions:
- Quantitative MRI provides valuable insights into skeletal muscle structure and function.
- qMRI techniques are increasingly vital for accurate diagnosis and monitoring of muscle pathologies.
- Further research and standardization of qMRI protocols will enhance its clinical impact.
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