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Updated: Apr 28, 2026

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
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Fast water concentration mapping to normalize (1)H MR spectroscopic imaging.
Angèle Lecocq1, Yann Le Fur, Alexis Amadon
1Centre de Résonance Magnétique Biologique et Médicale, CRMBM, UMR 7339, CNRS, Faculté de Médecine de la Timone, Aix-Marseille Université, 23, Boulevard Jean Moulin, 13385, Marseille, Cedex 05, France.
Magma (New York, N.Y.)
|June 9, 2014
Summary
A novel magnetic resonance spectroscopic imaging (MRSI) pipeline provides accurate proton density (ρ) maps for normalizing metabolic data. This enables reliable comparisons across subjects and longitudinal studies, aiding clinical research.
Area of Science:
- Medical Imaging
- Biophysics
- Quantitative MRI
Background:
- Magnetic Resonance Spectroscopic Imaging (MRSI) provides crucial metabolic information.
- Standardization of MRSI data is essential for accurate inter-subject and longitudinal analysis.
- Quantitative proton density (ρ) mapping is vital for normalizing metabolic data.
Purpose of the Study:
- To develop a rapid and robust pipeline for acquiring and processing proton density (ρ) maps.
- To enable time-compatible clinical explorations for MRSI data normalization.
- To facilitate inter-subject comparisons and longitudinal follow-up of MRSI data.
Main Methods:
- Utilized a multi-echo T2(*) mapping sequence, XEP for B1(+) mapping, and optimized variable flip angle for T1 mapping.
- Determined correction factors for quantitative water proton density (ρ) maps at 3 Tesla.
- Acquired normalized metabolite maps from a phantom and nine healthy volunteers, including one glioma patient.
Main Results:
- Generated accurate ρ maps for both phantom and volunteer datasets.
- Metabolic concentrations on the phantom showed <7% deviation from theory after normalization.
- Normalized metabolic values in a glioma patient revealed abnormalities in N-acetyl aspartate, choline, and creatine levels.
Conclusions:
- The proposed MRSI pipeline robustly generates ρ maps suitable for normalizing metabolic maps.
- This technique supports clinical MRSI studies by enabling reliable data comparison.
- The method demonstrates potential for direct clinical application in analyzing metabolic abnormalities.

