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Abstract #2486

Accelerated J-Resolved 1H-MRSI with Limited and Sparse Sampling of (k, tJ)-Space

Lihong Tang1, Yibo Zhao2,3, Yudu Li2,3, Rong Guo2,3, Bryan Clifford2,3, Chao Ma4, Zhi-Pei Liang2,3, and Jie Luo1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 3Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 4Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

J-resolved 1H-MRSI is a powerful tool for mapping brain molecules, especially those with large spectral overlaps (e.g., glutamate, glutamine and GABA), yet it requires very long data acquisition times. Building on work in accelerated subspace-based imaging, this work proposes an accelerated acquisition scheme with limited and sparse sampling of (k, tJ)-space, based on a physics-based spectral model and Cramer-Rao lower bound analysis. A model-based processing scheme is also proposed, which performs model-based reconstruction and spectral quantification directly from the measurement data. The proposed method has been evaluated with simulated and in vivo experiments which have yielded very encouraging results.

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