CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions

A novel physiologically based algorithm (PBA) for the computation of fractional flow reserve (FFR) in coronary artery trees (CATs) using computational fluid dynamics (CFD) is proposed and developed. The PBA was based on an extension of Murray's law and additional inlet conditions prescribed ite...

Full description

Saved in:
Bibliographic Details
Main Authors: Alzhanov, Nursultan, Ng, Eddie Yin Kwee, Su, Xiaohui, Zhao, Yong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171875
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-171875
record_format dspace
spelling sg-ntu-dr.10356-1718752023-11-18T16:48:27Z CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions Alzhanov, Nursultan Ng, Eddie Yin Kwee Su, Xiaohui Zhao, Yong School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Blood Flow Simulation Coronal Stenosis A novel physiologically based algorithm (PBA) for the computation of fractional flow reserve (FFR) in coronary artery trees (CATs) using computational fluid dynamics (CFD) is proposed and developed. The PBA was based on an extension of Murray's law and additional inlet conditions prescribed iteratively and was implemented in OpenFOAM v1912 for testing and validation. 3D models of CATs were created using CT scans and computational meshes, and the results were compared to invasive coronary angiographic (ICA) data to validate the accuracy and effectiveness of the PBA. The discrepancy between the calculated and experimental FFR was within 2.33-5.26% in the steady-state and transient simulations, respectively, when convergence was reached. The PBA was a reliable and physiologically sound technique compared to a current lumped parameter model (LPM), which is based on empirical scaling correlations and requires nonlinear iterative computing for convergence. The accuracy of the PBA method was further confirmed using an FDA nozzle, which demonstrated good alignment with the CFD-validated values. Published version 2023-11-14T05:50:24Z 2023-11-14T05:50:24Z 2023 Journal Article Alzhanov, N., Ng, E. Y. K., Su, X. & Zhao, Y. (2023). CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions. Bioengineering, 10(3), 309-. https://dx.doi.org/10.3390/bioengineering10030309 2306-5354 https://hdl.handle.net/10356/171875 10.3390/bioengineering10030309 36978700 2-s2.0-85151736233 3 10 309 en Bioengineering © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Blood Flow Simulation
Coronal Stenosis
spellingShingle Engineering::Mechanical engineering
Blood Flow Simulation
Coronal Stenosis
Alzhanov, Nursultan
Ng, Eddie Yin Kwee
Su, Xiaohui
Zhao, Yong
CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
description A novel physiologically based algorithm (PBA) for the computation of fractional flow reserve (FFR) in coronary artery trees (CATs) using computational fluid dynamics (CFD) is proposed and developed. The PBA was based on an extension of Murray's law and additional inlet conditions prescribed iteratively and was implemented in OpenFOAM v1912 for testing and validation. 3D models of CATs were created using CT scans and computational meshes, and the results were compared to invasive coronary angiographic (ICA) data to validate the accuracy and effectiveness of the PBA. The discrepancy between the calculated and experimental FFR was within 2.33-5.26% in the steady-state and transient simulations, respectively, when convergence was reached. The PBA was a reliable and physiologically sound technique compared to a current lumped parameter model (LPM), which is based on empirical scaling correlations and requires nonlinear iterative computing for convergence. The accuracy of the PBA method was further confirmed using an FDA nozzle, which demonstrated good alignment with the CFD-validated values.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Alzhanov, Nursultan
Ng, Eddie Yin Kwee
Su, Xiaohui
Zhao, Yong
format Article
author Alzhanov, Nursultan
Ng, Eddie Yin Kwee
Su, Xiaohui
Zhao, Yong
author_sort Alzhanov, Nursultan
title CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
title_short CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
title_full CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
title_fullStr CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
title_full_unstemmed CFD computation of flow fractional reserve (FFR) in coronary artery trees using a novel physiologically based algorithm (PBA) under 3D steady and pulsatile flow conditions
title_sort cfd computation of flow fractional reserve (ffr) in coronary artery trees using a novel physiologically based algorithm (pba) under 3d steady and pulsatile flow conditions
publishDate 2023
url https://hdl.handle.net/10356/171875
_version_ 1783955566527250432