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Abstract #3831

MR Fingerprinting ASL: multi-slice acquisition, sequence optimization, and validation with DSC

Pan Su1,2, Yang Li1,2, Deng Mao1,2, Wenbo Li1,3, Qin Qin1,3, Jay J. Pillai1, and Hanzhang Lu1

1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2Graduate School of Biomedical Sciences, The University of Texas Southwestern Medical Center, Dallas, TX, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

MR Fingerprinting (MRF) based Arterial Spin Labeling (ASL) has been recently proposed as a new approach to measure multiple hemodynamic parameters in a single scan. However, the previous implementation of MRF-ASL has several limitations, including a single-slice-only acquisition, incomplete optimization of the sequence, and an absence of comparison with existing techniques such as Look-Locker ASL and dynamic-susceptibility-contrast (DSC) MRI. In this work, we conducted a series of six studies to fill these technical gaps: we optimized several key imaging parameters in MRF-ASL and compared the results to existing methods.

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