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Abstract #2524

Mesoscale myelin-water fraction and T1/T2/PD mapping using optimized 3D ViSTa-MR Fingerprinting

Congyu Liao1,2, Xiaozhi Cao1,2, Siddharth Srinivasan Iyer1,3, Sophie Schauman1,2, Zihan Zhou4, Xiaoqian Yan5, Quan Chen1,2, Ting Gong6, Zhe Wu7, Hongjian He4, Jianhui Zhong4,8, Adam B Kerr2,9, Kalanit Grill-Spector5, and Kawin Setsompop1,2
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Center for Brain Imaging Science and Technology, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 5Department of Psychology, Stanford University, Stanford, CA, United States, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 7Techna Institute, University Health Network, Toronto, ON, Canada, 8Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 9Stanford Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Normal development, MicrostructureIn this work, we developed an optimized ViSTa-MRF method, which combined Visualization of Short Transverse relaxation time component (ViSTa) technique with MR Fingerprinting (MRF), to achieve high-fidelity whole-brain myelin-water fraction (MWF) and T1/T2/PD mapping at sub-millimeter isotropic resolution. To achieve high image quality, fast acquisition, and memory-efficient reconstruction, the proposed ViSTa-MRF sequence leverages a CRLB-optimized flip-angle (FA) protocol, SNR-efficient 3D spiral-projection sampling scheme and a GPU-based subspace reconstruction. We also applied the proposed method to enable high-resolution assessment of MWF/T1/T2 for infant brain development as well as for post-mortem brain sample.

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Abstract

Keywords