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Abstract #1894

Correlation-based temporal similarity mapping of DSC-MRI data in patients with asymptomatic unilateral high-grade carotid stenosis

Mirja Wolf1, Stephan Kaczmarz2,3, Jens Göttler2,3, Claus Zimmer3, Christian Schwarzbauer1, and Christine Preibisch3,4

1Applied Sciences and Mechatronics, University of Applied Sciences Munich, Munich, Germany, 2Yale University, New Haven, CT, United States, 3Neuroradiology, Technical University of Munich, Munich, Germany, 4Clinic for Neurology, Technical University of Munich, Munich, Germany

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.

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