Abstract #3861

Cross-validated full-field of view MRSI using a new spatial lipid extraction technique and HSVD and PG algorithms in the human brain.

Peter Adany¹, In-Young Choi^1,2,3, and Phil Lee^1,3

¹Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, ²Neurology, University of Kansas Medical Center, Kansas City, KS, United States, ³Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States

Reliable 1H MRS measurement in the brain is challenging due to strong lipid signals as high as two orders of magnitude stronger than metabolites. We propose a new spatial-domain post processing technique to extract the lipid signal and compare our method with the HSVD and PG algorithms applied to full field of view (FOV) MRSI data (no lipid nulling, no outer volume suppression). Results of lipid removal were assessed visually and by spectral quantification of MRSI voxels for N=9 subjects. Our method outperformed HSVD and PG and achieved reliable full-FOV MRSI, promising to reach the maximum potential of whole-brain MRSI.

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