Selection of Flow-Diverter Stent Models Using Optical Coherence Tomography and Mathematical Modeling of Hemodynamics

Abstract

We describe a method for increasing the effectiveness of surgery to position flow-diverter stents into cerebral arteries with aneurysms based on the combined use of mathematical modeling of hemodynamics and compression elastography. Approaches to determining Young's modulus and the Poisson's ratio for phantom of cerebral artery walls on the basis of endoscopic optical coherence tomography data were developed and tested. The applicability of this method was verified using a model of internal carotid artery aneurysm using a mathematical hemodynamic model taking into account the mechanical properties of the cerebral artery wall.