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Updated: Jan 10, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Quantitative proton density fat-fraction at 9.4 T using fast spin echo and asymmetric multi-echo gradient-echo pulse
Radim Kořínek1, Lucie Krátká1, Zenon Starčuk1
1Institute of Scientific Instruments of the CAS, Kralovopolska 147, 612 64 Brno, Czech Republic.
A new Fast Spin Echo Asymmetric Bipolar Multi-Gradient Echo (FSE-AbMGE) MRI sequence accurately quantifies fat in small animals. This method overcomes challenges in abdominal organ imaging, offering robust proton density fat fraction (PDFF) mapping.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Medical Physics
Background:
- Quantifying proton density fat fraction (PDFF) in small abdominal organs presents challenges due to low contrast and artifacts.
- Developing advanced MRI techniques is crucial for accurate in vivo fat quantification in preclinical research.
Purpose of the Study:
- To develop and validate a novel 7-echo CSE-MRI sequence for distortion-free PDFF mapping in small animals.
- To achieve PDFF quantification comparable to established methods with potential for increased robustness.
Main Methods:
- A Fast Spin Echo Asymmetric Bipolar Multi-Gradient Echo (FSE-AbMGE) sequence was developed at 9.4T.
- The sequence integrated fast spin-echo with multi-echo gradient-echo, utilizing robust phase unwrapping and water-fat reconstruction.
- Validation involved phantoms with known PDFF and in vivo mouse experiments, comparing results with 1H-MRS.
Main Results:
- The FSE-AbMGE sequence provided high-resolution PDFF mapping with minimal artifacts.
- Phantom experiments demonstrated strong agreement with ground truth and spectroscopic values (R² > 0.98).
- In vivo studies confirmed robust water-fat separation and accurate quantification in mice.
Conclusions:
- The FSE-AbMGE sequence is suitable for accurate abdominal fat quantification in small animals.
- The method shows promise for high-field fat quantification and may be adaptable to lower-field preclinical applications.
- Further validation is needed for reproducibility and broader biological settings.
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