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Abstract #0860

Non-contrast fingerprinting perfusion imaging reveals hemodynamic deficits in cerebrovascular diseases

Pan Su1,2, Peiying Liu1, Yang Li1,2, Zixuan Lin1,3, Lynsey Keator4, Ye Qiao1, Judy Huang5, Argye E. Hillis4,6,7, and Hanzhang Lu1

1The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7Cognitive Science, Johns Hopkins University, Baltimore, MD, United States

Perfusion imaging plays an important role in management decisions for a variety of cerebrovascular diseases. Most clinical perfusion MRI of stroke requires the use of contrast agent. However, contrast-agent perfusion cannot be used or fails to be used in 10-20% of patients. Therefore, an alternative technique to Gd-perfusion will benefit a substantial number of patients in clinical practice. Recently, a MR-Fingerprinting (MRF) ASL was developed for simultaneous estimations of CBF and bolus timing. In this study, we demonstrated the clinical utility of MRF-ASL in two types of cerebrovascular diseases, ischemic stroke and Moyamoya disease.

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