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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