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Abstract #3827

Characterizing the Brain Arterial Hemodynamics with Subject-Specific MRA-Based Computational Fluid Dynamics Models

Fernando Mut1, Susan Wright2, Giorgio Ascoli2, Juan R. Cebral1

1Computational and Data Sciences, George Mason University, Fairfax, VA, USA; 2Krasnow Institute for Advances Studies, George Mason University, Fairfax, VA, USA

Characterization of the brain arterial hemodynamics is important to compare healthy and pathologic blood flow conditions in order to better understand the mechanisms responsible for the initiation and progression of cerebrovascular diseases such as ischemic strokes and aneurysms. This paper presents a methodology for constructing subject-specific image-based computational models of the brain arterial system from magnetic resonance data, and its application to the characterization of the brain arterial hemodynamics.