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Abstract #2492

Retrospective motion compensation for edited MRSI data

Kimberly Chan1,2,3 and Peter Barker2,3

1Department of Biomedical Engineering, The Johns Hopkins University School, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

A retrospective motion compensation method for edited MR spectroscopic imaging (MRSI) data of the human brain is presented. The algorithm identifies movement-affected data by comparing the residual water and lipid peaks at the same k-space point, and either phase corrects, replaces or removes motion-affected FIDs. The method was applied to in vivo GABA-edited MRSI data: relative to uncorrected spectra, the corrected spectra had significantly less subtraction artifacts. The method was also demonstrated for correction of glutathione-edited MRSI data.

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