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Abstract #0030

Calibration of patient-specific computational models of cerebral blood flow in cerebrovascular disease using arterial spin labeling

Jonas Schollenberger1, Luis Hernandez-Garcia1,2, and C. Alberto Figueroa1,3
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2fMRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 3Surgery, University of Michigan, Ann Arbor, MI, United States

Collateral flow patterns in the circle of Willis play a major role in maintaining adequate blood supply to the brain in the presence of cerebrovascular occlusive disease. In this work, we present a strategy to quantify collateral flow by calibrating patient-specific computational fluid dynamic models of cerebral blood flow with perfusion data from arterial spin labeling. For a patient with right carotid stenosis, the collateral flow patterns in the circle of Willis obtained with the calibrated computational model show good agreement with territorial perfusion maps acquired with vessel-selective arterial spin labeling.

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