Computing the ankle-brachial index with parallel computational fluid dynamics. (3rd January 2019)

• Record Type: Journal Article
• Authors: Gounley, John; Draeger, Erik W.; Oppelstrup, Tomas; Krauss, William D.; Gunnels, John A.; Chaudhury, Rafeed; Nair, Priya; Frakes, David; Leopold, Jane A.; Randles, Amanda
• Is Part Of: Journal of biomechanics. Volume 82(2019)
• Page Start: 28
• Page End: 37
• Publication Date: 2019-01-03
• Subjects: Hemodynamics -- Computational fluid dynamics -- Ankle-brachial index; 92 -- 76 -- 68; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2018.10.007
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: The ankle-brachial index (ABI), a ratio of arterial blood pressure in the ankles and upper arms, is used to diagnose and monitor circulatory conditions such as coarctation of the aorta and peripheral artery disease. Computational simulations of the ABI can potentially determine the parameters that produce an ABI indicative of ischemia or other abnormalities in blood flow. However, 0- and 1-D computational methods are limited in describing a 3-D patient-derived geometry. Thus, we present a massively parallel framework for computational fluid dynamics (CFD) simulations in the full arterial system. Using the lattice Boltzmann method to solve the Navier–Stokes equations, we employ highly parallelized and scalable methods to generate the simulation domain and efficiently distribute the computational load among processors. For the first time, we compute an ABI with 3-D CFD. In this proof-of-concept study, we investigate the dependence of ABI on the presence of stenoses, or narrowed regions of the arteries, by directly modifying the arterial geometry. As a result, our framework enables the computation a hemodynamic factor characterizing flow at the scale of the full arterial system, in a manner that is extensible to patient-specific imaging data and holds potential for treatment planning.