Intracranial atherosclerotic disease (ICAD) is a known risk factor for ischemic stroke. There is a need to develop quantitative imaging biomarkers to identify patients who may not respond to medical management. Here, the pulsatility index (PI) and resistivity index (RI) are derived from 4D flow MRI using a semi-automated vessel identification and segmentation workflow for 7 subjects with severe ICAD. Initial results show significant asymmetries (PI: 0.89 ± 0.2 vs 1.06 ± 0.1, p = 0.04; RI: 0.92 ± 0.1 vs 1.03 ± 0.07, p = 0.009) for affected vessels as well as contralateral hemisphere changes compared to controls.
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