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Abstract #0001

Standardized Evaluation of Cerebral Arteriovenous Malformations using Flow Distribution Network Graphs and Dual-venc 4D Flow MRI

Maria Aristova1, Alireza Vali1, Sameer A Ansari1,2,3, Ali Shaibani1,2, Tord D Alden2,4, Michael C Hurley1https://www.ismrm.org/e-library/,2, Babak S Jahromi1,2, Matthew B Potts1,2, Michael Markl1,5, and Susanne Schnell1
1Radiology, Northwestern University, Chicago, IL, United States, 2Department of Neurosurgery, Northwestern University, Chicago, IL, United States, 3Department of Neurology, Northwestern University, Chicago, IL, United States, 4Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States, 5McCormick School of Engineering, Biomedical Engineering, Northwestern University, Chicago, IL, United States

Dual-venc 4D flow MRI with PEAK-GRAPPA acceleration provides time-resolved 3D cerebral hemodynamics and could be applied to cerebral arteriovenous malformations (AVM) with an appropriate standardized protocol. We optimize dual-venc 4D flow imaging for AVM in vitro and in vivo, and apply a Flow Distribution Network Graph paradigm for storing and analyzing complex neurovascular 4D flow data. In vitro and in vivo, 4 voxels across a typical vessel (achievable in vivo with 0.8mm isotropic resolution) will yield flow conservation < 15% and high reproducibility. Venous-arterial ratios of peak velocity and pulsatility index are proposed as potential network-based biomarkers characterizing AVM hemodynamics.

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