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Abstract #2861

Spatiospectral Reconstruction from Hybrid FID/SE J-Resolved MRSI Data with Limited Coverage of (k,t,tJ)-Space

Yibo Zhao1,2, Yudu Li1,2, Jiahui Xiong1,2, Rong Guo1,2, Yao Li3,4, and Zhi-Pei Liang1,2
1Department of Electrical and Computer Engineering, 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, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China

J-resolved MRSI using hybrid FID/SE signals has recently been proposed as an effective approach to achieving rapid, high-resolution mapping of brain metabolites and neurotransmitters, an elusive goal of the MRSI community. The new data acquisition scheme poses new problems for data processing, from removal of nuisance signals to reconstruction of spatiospectral distributions. This paper presents an effective method to address these problems, utilizing a union-of-subspaces framework to absorb complementary and prior information. The proposed method has been evaluated using experimental data, producing high-quality spatiospectral distributions of metabolites and neurotransmitters from hybrid FID/SE J-resolved MRSI data with limited coverage of (k,t,tJ)-space.

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