Abstract #0807

Multi-parametric estimation of brain hemodynamics with Fingerprinting ASL

Pan Su^1,2, Deng Mao^1,2, Peiying Liu¹, Yang Li^1,2, 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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