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Abstract #2616

Investigating the Quantitative Fidelity of Prospectively Undersampled Chemical Shift Imaging with Compressed Sensing and Parallel Imaging Reconstruction

Kieren Grant Hollingsworth1, David M. Higgins2

1Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom; 2Philips Healthcare, Guildford, Surrey, United Kingdom

Compressed sensing (CS) and parallel imaging (PI) have been successfully applied to the problem of water-fat separation, providing valuable savings in acquisition time. However, it has not been shown that quantitative fat fraction is preserved. Fully sampled and prospectively undersampled (4.4x) 3D gradient echo scans were performed on the lower leg of a volunteer, reconstructed by CS and PI and fat fraction maps produced. 4 regions-of-interest were considered across 5 axial levels and compared individually and by Bland-Altman analysis. No significant difference was found in the fat fraction for the regions and no bias between fully-sampled and undersampled data.