Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171875
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
Authors: Alzhanov, Nursultan
Ng, Eddie Yin Kwee
Su, Xiaohui
Zhao, Yong
Keywords: Engineering::Mechanical engineering
Issue Date: 2023
Source: 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
Journal: Bioengineering 
Abstract: 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.
URI: https://hdl.handle.net/10356/171875
ISSN: 2306-5354
DOI: 10.3390/bioengineering10030309
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 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/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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