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Abstract #2887

Removal of Nuisance Lipid Signals from Limited k -Space Data in 1H MRSI of the Brain

Chao Ma 1 , Fan Lam 1,2 , Curtis L. Johnson 1 , and Zhi-Pei Liang 1,2

1 Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States, 2 Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States

Limited k -space data are often acquired in conventional 1H MRSI experiments. However, the strong leakage of nuisance lipid signals from the subcutaneous lipid layer of the brain can significantly complicate spectrum quantitation in brain MRSI. Removal of such lipid signals is desirable but challenging, because they appear as strong, multiple-peak, and broad spectra, overlapping with the spectra of other important brain metabolites. In this work, we propose a novel method to solve this classical problem using a new spatial-spectral model. In vivo experiments at 3T showed that the proposed method is very effective in removing lipid signals from brain MRSI data.

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