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Abstract #0807

Multi-parametric estimation of brain hemodynamics with Fingerprinting ASL

Pan Su1,2, Deng Mao1,2, Peiying Liu1, Yang Li1,2, Ye Qiao1, 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

MR Fingerprinting (MRF) based Arterial Spin Labeling (ASL) has the ability to estimate multiple physiological parameters in a single scan. In this study, we explored the potential of this technique by fitting the data to a three-compartment model to get seven hemodynamic parameters concomitantly. Hypercapnia study in healthy subjects and clinical scan in stroke patients were conducted to test these estimations. Results show that this technique is able to provide multi-parametric estimations of hemodynamic markers in healthy and diseased brain.

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