Symptomatic intracranial atherosclerotic disease (ICAD) patients who present with stenosis and hemodynamic abnormalities are at higher risk of recurrent stroke. We propose a methodology that creates patient-specific ‘heat maps’ of abnormal hemodynamic parameters, based on intracranial dual-venc 4D flow MRI. The heat maps were created by detecting and highlighting outlier measurements from 95% confidence interval of normative parameter estimates in healthy controls. Elevated peak velocity (PV) was found in 75% of patients and 58.3% of them with abnormal PV in the uninvolved hemisphere. This novel approach to characterize intracranial hemodynamic impact may allow making patient-specific risk stratification and treatment strategies.
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