High-grade internal carotid artery stenosis is a widespread cause of ischemic stroke. A recent study proposed an iterative correlation-based image analysis method allowing quick identification of regions with perfusion deficits in dynamic susceptibility contrast magnetic resonance imaging. Here, we evaluate whether correlation-based methods can successfully detect perfusion delay in brain tissue in patients with asymptomatic carotid artery stenosis. In addition, we employed a subtraction method to segment regions of delayed perfusion. Volumes segmented by the subtraction method showed good spatial correspondence with dynamic susceptibility contrast-based time-to-peak maps.