Keywords: Muscle, Relaxometry, T2 mapping
Motivation: Current clinical use of quantitative MRI biomarkers for the assessment of neuromuscular disease is limited by accuracy and reliability
Goal(s): To develop a robust processing strategy for multi-vendor muscle-water T2 mapping (T2m) in foot muscle
Approach: A multi-component CPMG extended phase graph signal model was used to determine T2m and apparent fat fraction (ffa) in fat-infiltrated foot muscle using maximum likelihood estimation
Results: Stable estimates of foot muscle T2m and ffa were obtained in patients with Charcot-Marie-Tooth disease and healthy controls, at baseline and 1 year follow up. In patients, T2m and ffa were both elevated at each time point
Impact: T2m and ffa obtained from CPMG images using extended phase graph modelling and maximum likelihood estimation may be sensitive measures of neuromuscular pathology
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