Simulating Multi-Scale Pulmonary Vascular Function by Coupling Computational Fluid Dynamics With an Anatomic Network Model

Behdad Shaarbaf Ebrahimi; Haribalan Kumar; Merryn H. Tawhai; Kelly S. Burrowes; Eric A. Hoffman; Alys R. Clark

doi:10.3389/fnetp.2022.867551

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Simulating Multi-Scale Pulmonary Vascular Function by Coupling Computational Fluid Dynamics With an Anatomic Network Model

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Simulating Multi-Scale Pulmonary Vascular Function by Coupling Computational Fluid Dynamics With an Anatomic Network Model

Behdad Shaarbaf Ebrahimi, Haribalan Kumar, Merryn H. Tawhai, Kelly S. Burrowes, Eric A. Hoffman and Alys R. Clark

Frontiers in Network Physiology, Vol.2, 867551

04/25/2022

DOI: 10.3389/fnetp.2022.867551

PMCID: PMC10012968

PMID: 36926101

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https://doi.org/10.3389/fnetp.2022.867551View

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Abstract

The function of the pulmonary circulation is truly multi-scale, with blood transported through vessels from centimeter to micron scale. There are scale-dependent mechanisms that govern the flow in the pulmonary vascular system. However, very few computational models of pulmonary hemodynamics capture the physics of pulmonary perfusion across the spatial scales of functional importance in the lung. Here we present a multi-scale model that incorporates the 3-dimensional (3D) complexities of pulmonary blood flow in the major vessels, coupled to an anatomically-based vascular network model incorporating the multiple contributing factors to capillary perfusion, including gravity. Using the model we demonstrate how we can predict the impact of vascular remodeling and occlusion on both macro-scale functional drivers (flow distribution between lungs, and wall shear stress) and micro-scale contributors to gas exchange. The model predicts interactions between 3D and 1D models that lead to a redistribution of blood between postures, both on a macro- and a micro-scale. This allows us to estimate the effect of posture on left and right pulmonary artery wall shear stress, with predictions varying by 0.75–1.35 dyne/cm 2 between postures.

Details

Title: Subtitle: Simulating Multi-Scale Pulmonary Vascular Function by Coupling Computational Fluid Dynamics With an Anatomic Network Model
Creators: Behdad Shaarbaf Ebrahimi - University of Auckland
Haribalan Kumar - University of Auckland
Merryn H. Tawhai - University of Auckland
Kelly S. Burrowes - University of Auckland
Eric A. Hoffman - University of Iowa
Alys R. Clark - University of Auckland
Resource Type: Journal article
Publication Details: Frontiers in Network Physiology, Vol.2, 867551
DOI: 10.3389/fnetp.2022.867551
PMID: 36926101
PMCID: PMC10012968
NLM abbreviation: Front Netw Physiol
ISSN: 2674-0109
eISSN: 2674-0109
Grant note: DOI: 10.13039/501100003524, name: Ministry of Business, Innovation and Employment; DOI: 10.13039/100016590, name: MedTech CoRE; DOI: 10.13039/100000002, name: National Institutes of Health; DOI: 10.13039/501100001509, name: Royal Society Te Apārangi
Language: English
Date published: 04/25/2022
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984320094402771

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