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 Ansari^1,2,3, Ali Shaibani^1,2, Tord D Alden^2,4, Michael C Hurley^1,2, Babak S Jahromi^1,2, Matthew B Potts^1,2, Michael Markl^1,5, 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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