Biomechanics and Modeling in Mechanobiology

, Volume 16, Issue 3, pp 787–803

Wall shear stress exposure time: a Lagrangian measure of near-wall stagnation and concentration in cardiovascular flows

  • Amirhossein Arzani
  • Alberto M. Gambaruto
  • Guoning Chen
  • Shawn C. Shadden
Original Paper

DOI: 10.1007/s10237-016-0853-7

Cite this article as:
Arzani, A., Gambaruto, A.M., Chen, G. et al. Biomech Model Mechanobiol (2017) 16: 787. doi:10.1007/s10237-016-0853-7

Abstract

Near-wall transport is of utmost importance in connecting blood flow mechanics with cardiovascular disease progression. The near-wall region is the interface for biologic and pathophysiologic processes such as thrombosis and atherosclerosis. Most computational and experimental investigations of blood flow implicitly or explicitly seek to quantify hemodynamics at the vessel wall (or lumen surface), with wall shear stress (WSS) quantities being the most common descriptors. Most WSS measures are meant to quantify the frictional force of blood flow on the vessel lumen. However, WSS also provides an approximation to the near-wall blood flow velocity. We herein leverage this fact to compute a wall shear stress exposure time (WSSET) measure that is derived from Lagrangian processing of the WSS vector field. We compare WSSET against the more common relative residence time (RRT) measure, as well as a WSS divergence measure, in several applications where hemodynamics are known to be important to disease progression. Because these measures seek to quantify near-wall transport and because near-wall transport is important in several cardiovascular pathologies, surface concentration computed from a continuum transport model is used as a reference. The results show that compared to RRT, WSSET is able to better approximate the locations of near-wall stagnation and concentration build-up of chemical species, particularly in complex flows. For example, the correlation to surface concentration increased on average from 0.51 (RRT) to 0.79 (WSSET) in abdominal aortic aneurysm flow. Because WSSET considers integrated transport behavior, it can be more suitable in regions of complex hemodynamics that are traditionally difficult to quantify, yet encountered in many disease scenarios.

Keywords

Advection–diffusion Blood flow Hemodynamics Near-wall transport Residence time Shear stress 

Funding information

Funder NameGrant NumberFunding Note
National Science Foundation
  • 1354541

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of California BerkeleyBerkeleyUSA
  2. 2.Department of Mechanical EngineeringUniversity of BristolBristolUK
  3. 3.Department of Computer ScienceUniversity of HoustonHoustonUSA

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