title: Wall Shear Rate Measurement: Validation of a New Method Through Multiphysics Simulations.
abstract: Wall shear stress is known to affect the vessel endothelial function and to be related to important pathologies like the development of atherosclerosis. It is defined as the product of the blood viscosity by the blood velocity gradient at the wall position, i.e., the wall shear rate (WSR). The WSR measurement is particularly challenging in important cardiovascular sites, like the carotid bifurcation, because of the related complex flow configurations characterized by high spatial and temporal gradients, wall movement, and clutter noise. Moreover, accuracy of any method for WSR measurement can be effectively tested only if reliable gold standard WSR values, considering all the aforementioned disturbing effects, are available. Unfortunately, these requirements are difficult to achieve in a physical phantom, so that the accuracy test of the novel WSR measurement methods was so far limited to straight pipes and/or similar idealistic configurations. In this paper, we propose a new method for WSR measurement and its validation based on a mathematical model of the carotid bifurcation, which, exploiting fluid-structure simulations, is capable of reproducing realistic flow configuration, wall movement, and clutter noise. In particular, the profile near the wall, not directly measurable because affected by clutter, is estimated through a power-law fitting and compared with the gold standard provided by the model. In this condition, the WSR measurements featured an accuracy of ±20 %. A preliminary test on a volunteer confirmed the feasibility of the WSR method for in vivo application.
authors.forename: Stefano
authors.initials: S
authors.lastname: Ricci
authors.forename: Abigail
authors.initials: A
authors.lastname: Swillens
authors.forename: Alessandro
authors.initials: A
authors.lastname: Ramalli
authors.forename: Patrick
authors.initials: P
authors.lastname: Segers
authors.forename: Piero
authors.initials: P
authors.lastname: Tortoli
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity / Q000502:physiology*; D002339:Carotid Arteries / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D008955:Models, Cardiovascular; D019047:Phantoms, Imaging; D013314:Stress, Mechanical