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Abstract #0028

Non-contrast, high-resolution compliance mapping of intracranial vessels

Yang Li1, Michael Schär1, Dengrong Jiang1, and Hanzhang Lu1
1Johns Hopkins University Department of Radiology, Baltimore, MD, United States

Vascular compliance is an important predictor of cardiovascular disease and stroke. Here we proposed a technique to map vascular compliance along the entire intracranial arterial tree. We applied the ASL MRA to acquire k-space data in radial fashion. Then the k-space data was retrospectively grouped by cardiac phases and reconstructed by the GRASP algorithm. A series of cardiac-phase-resolved angiography images were obtained, allowing quantification of vascular compliance.

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