Computing the ankle-brachial index with parallel computational fluid dynamics

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

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
JournalJournal of Biomechanics
DOIs
StateAccepted/In press - Jan 1 2018

Fingerprint

Ankle Brachial Index
Hydrodynamics
Computational fluid dynamics
Geometry
Blood pressure
Hemodynamics
Computational methods
Blood
Imaging techniques
Planning
Computer simulation
Aortic Coarctation
Peripheral Arterial Disease
Ankle
Arterial Pressure
Pathologic Constriction
Arm
Ischemia
Arteries

Keywords

  • Ankle-brachial index
  • Computational fluid dynamics
  • Hemodynamics

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation

Cite this

Gounley, J., Draeger, E. W., Oppelstrup, T., Krauss, W. D., Gunnels, J. A., Chaudhury, R., ... Randles, A. (Accepted/In press). Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2018.10.007

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.

In: Journal of Biomechanics, 01.01.2018.

Research output: Contribution to journalArticle

Gounley, J, Draeger, EW, Oppelstrup, T, Krauss, WD, Gunnels, JA, Chaudhury, R, Nair, P, Frakes, D, Leopold, JA & Randles, A 2018, 'Computing the ankle-brachial index with parallel computational fluid dynamics', Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2018.10.007
Gounley, John ; Draeger, Erik W. ; Oppelstrup, Tomas ; Krauss, William D. ; Gunnels, John A. ; Chaudhury, Rafeed ; Nair, Priya ; Frakes, David ; Leopold, Jane A. ; Randles, Amanda. / Computing the ankle-brachial index with parallel computational fluid dynamics. In: Journal of Biomechanics. 2018.
@article{67a86b3bef294ead96c14fa624ece1b9,
title = "Computing the ankle-brachial index with parallel computational fluid dynamics",
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.",
keywords = "Ankle-brachial index, Computational fluid dynamics, Hemodynamics",
author = "John Gounley and Draeger, {Erik W.} and Tomas Oppelstrup and Krauss, {William D.} and Gunnels, {John A.} and Rafeed Chaudhury and Priya Nair and David Frakes and Leopold, {Jane A.} and Amanda Randles",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.jbiomech.2018.10.007",
language = "English (US)",
journal = "Journal of Biomechanics",
issn = "0021-9290",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Computing the ankle-brachial index with parallel computational fluid dynamics

AU - Gounley, John

AU - Draeger, Erik W.

AU - Oppelstrup, Tomas

AU - Krauss, William D.

AU - Gunnels, John A.

AU - Chaudhury, Rafeed

AU - Nair, Priya

AU - Frakes, David

AU - Leopold, Jane A.

AU - Randles, Amanda

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Ankle-brachial index

KW - Computational fluid dynamics

KW - Hemodynamics

UR - http://www.scopus.com/inward/record.url?scp=85055628588&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055628588&partnerID=8YFLogxK

U2 - 10.1016/j.jbiomech.2018.10.007

DO - 10.1016/j.jbiomech.2018.10.007

M3 - Article

C2 - 30385003

AN - SCOPUS:85055628588

JO - Journal of Biomechanics

JF - Journal of Biomechanics

SN - 0021-9290

ER -