Abstract #3831

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

Pan Su^1,2, Yang Li^1,2, Deng Mao^1,2, Wenbo Li^1,3, Qin Qin^1,3, 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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