Multimodality image-based models of carotid artery hemodynamics (Cum Laude Poster Award)

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Abstract
Determination of the hemodynamics conditions in atherosclerotic carotid arteries is important for quantitative assessment of the severity of the disease. Since there are no reliable experimental methods to determine the in vivo wall shear stress distribution in the region of the stenosis, realistic patient-specific image-based finite element models are constructed. The purpose of this paper is to present validation studies based on multi-modality image data of patients with carotid artery disease. The velocity profiles and peak velocity at stenoses computed by the computational fluid dynamics models are in very good agreement with phase-contrast magnetic resonance and carotid Doppler ultrasound measurements, respectively.

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