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Abstract #0365

Mesoscale myelin-water fraction and T1/T2/PD mapping through optimized 3D ViSTa-MRF and stochastic reconstruction with preconditioning

Congyu Liao1,2, Xiaozhi Cao1,2, Siddharth Srinivasan Iyer1,3, Zihan Zhou4, Yunsong Liu5, Justin Haldar5, Mahmut Yurt1,2, Ting Gong6, Zhe Wu7, Hongjian He4, Jianhui Zhong4,8, Adam Kerr1,9, 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, 5Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 6Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, United Kingdom, 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

In this work, we developed ViSTa-MRF, 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 on a clinical 3T scanner. To achieve fast acquisition and memory-efficient reconstruction, the ViSTa-MRF sequence leverages an optimized 3D tiny-golden-angle-shuffling (TGAS) spiral-projection acquisition and stochastic subspace reconstruction with optimized k-space diagonal preconditioning. With the proposed ViSTa-MRF method, high-fidelity direct MWF mapping was achieved without a need for multi-compartment fitting.

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