Keywords: Quantitative Imaging, Fat, T2 mapping
Motivation: Skeletal muscle inflammation/necrosis and fat infiltration are strong indicators of disease activity and progression in many neuromuscular disorders. They can be assessed by muscle T2 relaxometry and water-fat separation techniques, respectively.
Goal(s): Develop a method for simultaneous water-fat separation and T2 quantification.
Approach: The chemical-shift encoding multiple overlapping-echo detachment (CSE-MOLED) sequence was designed for MRI data acquisition, and synthetic data and deep learning were used for image reconstruction.
Results: The experiments showed that accurate T2 maps of water and fat and proton density fat fraction maps (PDFF) can be fast and simultaneously acquired by CSE-MOLED.
Impact: A new MRI method is proposed for fast and simultaneous T2 and PDFF mapping, which may help improve the clinical diagnosis of neuromuscular diseases.
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