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Computing the ankle-brachial index with parallel computational fluid dynamics.

Publication ,  Journal Article
Gounley, J; Draeger, EW; Oppelstrup, T; Krauss, WD; Gunnels, JA; Chaudhury, R; Nair, P; Frakes, D; Leopold, JA; Randles, A
Published in: Journal of biomechanics
January 2019

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.

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Published In

Journal of biomechanics

DOI

EISSN

1873-2380

ISSN

0021-9290

Publication Date

January 2019

Volume

82

Start / End Page

28 / 37

Related Subject Headings

  • Hydrodynamics
  • Humans
  • Hemodynamics
  • Constriction, Pathologic
  • Computer Simulation
  • Biomedical Engineering
  • Arteries
  • Ankle Brachial Index
  • 4207 Sports science and exercise
  • 4003 Biomedical engineering
 

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Gounley, J., Draeger, E. W., Oppelstrup, T., Krauss, W. D., Gunnels, J. A., Chaudhury, R., … Randles, A. (2019). Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of Biomechanics, 82, 28–37. https://doi.org/10.1016/j.jbiomech.2018.10.007
Gounley, John, Erik W. Draeger, Tomas Oppelstrup, William D. Krauss, John A. Gunnels, Rafeed Chaudhury, Priya Nair, David Frakes, Jane A. Leopold, and Amanda Randles. “Computing the ankle-brachial index with parallel computational fluid dynamics.Journal of Biomechanics 82 (January 2019): 28–37. https://doi.org/10.1016/j.jbiomech.2018.10.007.
Gounley J, Draeger EW, Oppelstrup T, Krauss WD, Gunnels JA, Chaudhury R, et al. Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of biomechanics. 2019 Jan;82:28–37.
Gounley, John, et al. “Computing the ankle-brachial index with parallel computational fluid dynamics.Journal of Biomechanics, vol. 82, Jan. 2019, pp. 28–37. Epmc, doi:10.1016/j.jbiomech.2018.10.007.
Gounley J, Draeger EW, Oppelstrup T, Krauss WD, Gunnels JA, Chaudhury R, Nair P, Frakes D, Leopold JA, Randles A. Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of biomechanics. 2019 Jan;82:28–37.
Journal cover image

Published In

Journal of biomechanics

DOI

EISSN

1873-2380

ISSN

0021-9290

Publication Date

January 2019

Volume

82

Start / End Page

28 / 37

Related Subject Headings

  • Hydrodynamics
  • Humans
  • Hemodynamics
  • Constriction, Pathologic
  • Computer Simulation
  • Biomedical Engineering
  • Arteries
  • Ankle Brachial Index
  • 4207 Sports science and exercise
  • 4003 Biomedical engineering