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Abstract #3519

Chemical Shift-Based Imaging to Measure Fat Fractions in Dystrophic Skeletal Muscle

Celine Baligand1, William Triplett2, Sean C. Forbes3, Rebecca J. Willcocks3, Donovan J. Lott3, Soren De Vos3, Jim Pollaro4, William D. Rooney4, H. Lee Sweeney5, Carsten G. Bonnemann6, Krista Vandenborne3, Glenn A. Walter2

1Physiology and Functional Genomics, University of Florida, Gainesville, FL , United States; 2Physiology and Functional Genomics, University of Florida, Gainesville, FL, United States; 3Physical Therapy, University of Florida, Gainesville, FL, United States; 4Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States; 5Department of Physiology, University of Pennsylvania, Philadelphia, PA, United States; 6Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States


We used chemical-shift based MRI to quantify fatty infiltration in dystrophic muscles. We evaluated the combined influence of the model used for fat spectral decomposition, T1 variations, and signal to noise on the calculated fat fraction in Duchenne muscular dystrophy (DMD), congenital muscular dystrophy (C6), and control muscles, using localized 1H-MRS as a validation measure. Our results indicated that noise bias correction and the use of a 6-peak spectral model for fat allow good agreement between MRI and MRS measurement over a large range of fat fraction values, making chemical-shift based MRI a potential complementary quantitative measure in clinical trials.