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Abstract #4005

Accelerating fat fraction measurements in muscular dystrophy using compressed sensing and parallel imaging

Kieren G Hollingsworth 1 , David M Higgins 2 , Michelle McCallum 3 , Anna Coombs 1 , and Volker Straub 3

1 Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom, 2 Philips Healthcare, Guildford, Surrey, United Kingdom, 3 Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom

Fat fraction measurement in muscular dystrophy has an important role to play in future therapy trials. Undersampled data reconstructed by combined compressed sensing and parallel imaging (CS-PI) can potentially reduce trial cost. 8 patients with Becker muscular dystrophy were recruited and 3 different prospective undersampling ratios were acquired. When plotted against the fat fractions derived from fully sampled data, non-significant bias and 95% limits of agreement of 1.58%, 2.17% and 2.41% were found for the three CS-PI reconstructions: equivalent PI reconstructions were of lower quality. Prospective undersampling can substantially accelerate muscle fat fraction measurement in muscular dystrophy.

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