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Abstract #2621

Improving Lipid Suppression for 1H-MRSI Using Region-Optimized Virtual Coils

Fan Lam1,2,3, Yahang Li1,2, Yibo Zhao2,4, and Justin Haldar5
1Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

One major challenge for 1H-MRSI with localized excitation is minimizing interference from undesired regions, particularly the subcutaneous lipids. In this work, we exploit the complementariness of a new technique called region-optimized virtual coils (ROVir) that is capable of generating a set of virtual channels sensitized to specific regions and spatiospectral processing for lipid removal. Using brain 1H-MRSI data, we demonstrated improved lipid removal by combining ROVir and a state-of-the-art union-of-subspaces method. We expect this integration to be useful for MRSI applications where VOIs are often lateralized (e.g., stroke and tumor) and/or cerebral lipids are of interest.

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Keywords