Abstract #3681

High-Resolution J-Edited MRSI Using Multi-Slab Acquisition and Learned Subspaces

Rong Guo^1,2, Yibo Zhao^2,3, Yudu Li^2,4, Chao Ma⁵, Wen Jin^2,3, Yao Li⁶, Georges El Fakhri⁵, Brad Sutton^2,3,4,7,8, and Zhi-Pei Liang^2,3,4

¹Siemens Medical Solutions USA, Inc., Urbana, IL, United States, ²Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁵Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, ⁶School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ⁷Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁸Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Synopsis

Keywords: Spectroscopy, SpectroscopyHigh-resolution mapping of GABA in the brain has long been desired by the neuroscience community. But it is still challenging due to several long-standing technical obstacles including low SNR, long scan time, and spectral overlapping. This work proposes an MRSI method integrating multi-slab EPSI acquisition, MEGA spectral editing, and subspace modeling to overcome these difficulties, successfully achieving 3D GABA and metabolite mapping (at 3.0×3.0×4.0 mm³ nominal resolution) in a 12-minute scan time.

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