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Updated: May 14, 2025

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
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Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance
Shunsuke Uotani1, Yuki Kanazawa2,3, Akihiro Haga4
1Graduate School of Health Sciences, Faculty of Medicine, Tokushima University, Tokushima, Japan.
Radiological Physics and Technology
|May 13, 2025
Summary
Quantitative Parameter Mapping (QPM) offers a reproducible method for measuring myelin water fraction (MWF), a key biomarker for myelin sheath integrity, improving diagnostic accuracy in neurological conditions.
Area of Science:
- Neuroimaging
- Biomarker Discovery
- Quantitative MRI
Background:
- The myelin sheath insulates nerve axons, crucial for rapid signal transmission.
- Myelin water fraction (MWF) is a vital biomarker for myelin integrity.
- Current MWF measurement methods lack consistency, posing a challenge for clinical use.
Purpose of the Study:
- To derive Myelin Water Fraction (MWF) using Quantitative Parameter Mapping (QPM).
- To assess the reproducibility and reliability of QPM for MWF quantification.
- To explore the potential clinical applicability of QPM-based MWF measurement.
Main Methods:
- QPM-MRI was performed on five healthy volunteers using a 3-Tesla scanner and a 3D-RSSG sequence.
- Pseudo-intensity images were generated, and a brain tissue model equation was applied.
- Triexponential curve fitting estimated tissue component amplitudes for MWF calculation.
Main Results:
- Mean MWF values were 8.20 ± 4.97% for white matter and 7.99 ± 3.45% for gray matter.
- QPM demonstrated consistent imaging conditions across scanners for stable parameter acquisition.
- High accuracy in relaxation time estimation was achieved, enabling stable MWF quantification.
Conclusions:
- QPM provides a reproducible and accurate method for MWF quantification.
- The technique allows for 3D data acquisition within clinically relevant scan times.
- QPM-based MWF measurement shows significant potential for clinical implementation in neurological assessments.
Keywords:
Magnetic resonance imaging (MRI)Myelin water fraction (MWF)Quantitative parameter mapping (QPM)RelaxometryVoxel-based morphometry (VBM)
