Computing the ankle-brachial index with parallel computational fluid dynamics

Gounley, John; Draeger, Erik W.; Oppelstrup, Tomas; Krauss, William D.; Gunnels, John A.; Chaudhury, Rafeed; Nair, Priya; Frakes, David; Leopold, Jane A.; Randles, Amanda

doi:10.1016/j.jbiomech.2018.10.007

Title: Computing the ankle-brachial index with parallel computational fluid dynamics

Journal Article · 18 October 2018 · Journal of Biomechanics

DOI: https://doi.org/10.1016/j.jbiomech.2018.10.007 · OSTI ID:1738895

Gounley, John ^[1]; Draeger, Erik W. ^[2]; Oppelstrup, Tomas ^[2]; Krauss, William D. ^[2]; Gunnels, John A. ^[3]; Chaudhury, Rafeed ^[4]; Nair, Priya ^[4]; Frakes, David ^[4]; Leopold, Jane A. ^[5]; Randles, Amanda ^[1]

Duke Univ., Durham, NC (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Applied Scientific Computing
Thomas J. Watson Research Center, Yorktown Heights, NY (United States)
Arizona State Univ., Tempe, AZ (United States)
Harvard Medical School, Boston, MA (United States)

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. Additionally, 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.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1738895

Report Number(s):: LLNL-JRNL-730945; 882218

Journal Information:: Journal of Biomechanics, Journal Name: Journal of Biomechanics Journal Issue: na Vol. 82; ISSN 0021-9290

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
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Title: Computing the ankle-brachial index with parallel computational fluid dynamics

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