Abstract #0860

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

Pan Su^1,2, Peiying Liu¹, Yang Li^1,2, Zixuan Lin^1,3, Lynsey Keator⁴, Ye Qiao¹, Judy Huang⁵, Argye E. Hillis^4,6,7, 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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