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Abstract #2232

Fast lipid removal with multi-scale auto-alignment in full-FOV MRSI.

Peter Adany1, In-Young Choi1,2, and Phil Lee1,3
1Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States, 3Department of Radiology, University of Kansas Medical Center, Kansas City, KS, United States

The availability of robust lipid signal removal methods for whole slab MRSI opens up the possibility to measure signals from the edge of the brain, including cortical regions. We have developed a Fast LIpid signal Processing (FLIP) algorithm that effectively removes subcutaneous lipid signals. Recently, we have further developed our FLIP method to include a novel multi-scale auto-alignment feature at a sub-millimeter scale. This study demonstrates that the new alignment algorithm enables the detection of subtle displacement of subject head positions between scans and significantly improves the performance of lipid removal in full-FOV MRSI.

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