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Abstract #1262

High-Fidelity ASL Perfusion Imaging Using Unsuppressed Water Signals in MR Spectroscopic Imaging

Rong Guo1,2, Xingfeng Shao3, Yudu Li2,4, Yibo Zhao2,5, Wen Jin2,5, Yao Li6, Danny JJ Wang3, Brad Sutton2,4,7, and Zhi-Pei Liang2,5
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, 3Laboratory of FMRI technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 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

Synopsis

Keywords: Arterial Spin Labelling, Arterial spin labelling, Spectroscopy

Motivation: ASL and MRSI experiments are currently performed using different sequences, and EPI-based ASL methods suffer from spatial distortion and limited SNR.

Goal(s): To develop a water unsuppressed MRSI based imaging method for high-fidelity ASL-based perfusion imaging.

Approach: The SPICE sequence was integrated with a PASL module for ASL acquisition, and a GS model-based method was used for image reconstruction.

Results: The proposed method achieved ASL at 2×2×2 mm3 resolution and MRSI at 2×3×3 mm3 within 9 minutes in total. Compared with typical EPI-based methods, the resulting ASL images were free from spatial distortion, and had adequate SNR within a short scan time.

Impact: This work presents a new method for high-fidelity ASL-based perfusion imaging combining with MRSI-based metabolic imaging. With further development, it may provide a powerful brain imaging tool for both functional studies and clinical applications.

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Keywords