Abstract #2492

Retrospective motion compensation for edited MRSI data

Kimberly Chan^1,2,3 and Peter Barker^2,3

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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