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A physiologically realistic virtual patient database for the study of arterial haemodynamics

Gareth Jones, Jim Parr, Perumal Nithiarasu Orcid Logo, Sanjay Pant Orcid Logo

International Journal for Numerical Methods in Biomedical Engineering, Volume: 37, Issue: 10

Swansea University Authors: Perumal Nithiarasu Orcid Logo, Sanjay Pant Orcid Logo

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DOI (Published version): 10.1002/cnm.3497

Abstract

This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the effects of arterial disease on haemodynamics. A low dimensional representation of an anatomically detailed arterial network is outlined, and...

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Published in: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 2040-7939 2040-7947
Published: Wiley 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56785
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A low dimensional representation of an anatomically detailed arterial network is outlined, and a physiologically realistic posterior distribution for its parameters constructed through the use of a Bayesian approach. This approach combines both physiological/geometrical constraints and the available measurements reported in the literature. A key contribution of this work is to present a framework for including all such available information for the creation of virtual patients (VPs). The Markov Chain Monte Carlo (MCMC) method is used to sample random VPs from this posterior distribution, and the pressure and flow-rate profiles associated with each VP computed through a physics based model of pulse wave propagation. This combination of the arterial network parameters (representing a virtual patient) and the haemodynamics waveforms of pressure and flow-rates at various locations (representing functional response and potential measurements that can be acquired in the virtual patient) makes up the VPD. While 75,000 VPs are sampled from the posterior distribution, 10,000 are discarded as the initial burn-in period of the MCMC sampler. A further 12,857 VPs are subsequently removed due to the presence of negative average flow-rate, reducing the VPD to 52,143. Due to undesirable behaviour observed in some VPs&#x2014;asymmetric under- and over-damped pressure and flow-rate profiles in left and right sides of the arterial system&#x2014;a filter is proposed to remove VPs showing such behaviour. Post application of the filter, the VPD has 28,868 subjects. It is shown that the methodology is appropriate by comparing the VPD statistics to those reported in literature across real populations. 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spelling 2022-08-15T11:22:09.2234253 v2 56785 2021-05-04 A physiologically realistic virtual patient database for the study of arterial haemodynamics 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 43b388e955511a9d1b86b863c2018a9f 0000-0002-2081-308X Sanjay Pant Sanjay Pant true false 2021-05-04 CIVL This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the effects of arterial disease on haemodynamics. A low dimensional representation of an anatomically detailed arterial network is outlined, and a physiologically realistic posterior distribution for its parameters constructed through the use of a Bayesian approach. This approach combines both physiological/geometrical constraints and the available measurements reported in the literature. A key contribution of this work is to present a framework for including all such available information for the creation of virtual patients (VPs). The Markov Chain Monte Carlo (MCMC) method is used to sample random VPs from this posterior distribution, and the pressure and flow-rate profiles associated with each VP computed through a physics based model of pulse wave propagation. This combination of the arterial network parameters (representing a virtual patient) and the haemodynamics waveforms of pressure and flow-rates at various locations (representing functional response and potential measurements that can be acquired in the virtual patient) makes up the VPD. While 75,000 VPs are sampled from the posterior distribution, 10,000 are discarded as the initial burn-in period of the MCMC sampler. A further 12,857 VPs are subsequently removed due to the presence of negative average flow-rate, reducing the VPD to 52,143. Due to undesirable behaviour observed in some VPs—asymmetric under- and over-damped pressure and flow-rate profiles in left and right sides of the arterial system—a filter is proposed to remove VPs showing such behaviour. Post application of the filter, the VPD has 28,868 subjects. It is shown that the methodology is appropriate by comparing the VPD statistics to those reported in literature across real populations. Generally, a good agreement between the two is found while respecting physiological/geometrical constraints. Journal Article International Journal for Numerical Methods in Biomedical Engineering 37 10 Wiley 2040-7939 2040-7947 virtual patients; stenosis; aneurysm; pulse wave haemodynamics; MCMC; screening; virtual patient database 8 10 2021 2021-10-08 10.1002/cnm.3497 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University EPSRC, Grant/Award Numbers: EP/N509553/1, EP/R010811/1 2022-08-15T11:22:09.2234253 2021-05-04T13:18:57.2464835 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Gareth Jones 1 Jim Parr 2 Perumal Nithiarasu 0000-0002-4901-2980 3 Sanjay Pant 0000-0002-2081-308X 4 56785__19795__af29f37159f0450582fd794577d69d5a.pdf 56785.pdf 2021-05-04T13:20:54.1608829 Output 8318564 application/pdf Accepted Manuscript true 2022-05-10T00:00:00.0000000 true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ 76 Sanjay Pant Sanjay.Pant@Swansea.ac.uk true https://doi.org/10.5281/zenodo.4549763 false
title A physiologically realistic virtual patient database for the study of arterial haemodynamics
spellingShingle A physiologically realistic virtual patient database for the study of arterial haemodynamics
Perumal Nithiarasu
Sanjay Pant
title_short A physiologically realistic virtual patient database for the study of arterial haemodynamics
title_full A physiologically realistic virtual patient database for the study of arterial haemodynamics
title_fullStr A physiologically realistic virtual patient database for the study of arterial haemodynamics
title_full_unstemmed A physiologically realistic virtual patient database for the study of arterial haemodynamics
title_sort A physiologically realistic virtual patient database for the study of arterial haemodynamics
author_id_str_mv 3b28bf59358fc2b9bd9a46897dbfc92d
43b388e955511a9d1b86b863c2018a9f
author_id_fullname_str_mv 3b28bf59358fc2b9bd9a46897dbfc92d_***_Perumal Nithiarasu
43b388e955511a9d1b86b863c2018a9f_***_Sanjay Pant
author Perumal Nithiarasu
Sanjay Pant
author2 Gareth Jones
Jim Parr
Perumal Nithiarasu
Sanjay Pant
format Journal article
container_title International Journal for Numerical Methods in Biomedical Engineering
container_volume 37
container_issue 10
publishDate 2021
institution Swansea University
issn 2040-7939
2040-7947
doi_str_mv 10.1002/cnm.3497
publisher Wiley
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
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description This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the effects of arterial disease on haemodynamics. A low dimensional representation of an anatomically detailed arterial network is outlined, and a physiologically realistic posterior distribution for its parameters constructed through the use of a Bayesian approach. This approach combines both physiological/geometrical constraints and the available measurements reported in the literature. A key contribution of this work is to present a framework for including all such available information for the creation of virtual patients (VPs). The Markov Chain Monte Carlo (MCMC) method is used to sample random VPs from this posterior distribution, and the pressure and flow-rate profiles associated with each VP computed through a physics based model of pulse wave propagation. This combination of the arterial network parameters (representing a virtual patient) and the haemodynamics waveforms of pressure and flow-rates at various locations (representing functional response and potential measurements that can be acquired in the virtual patient) makes up the VPD. While 75,000 VPs are sampled from the posterior distribution, 10,000 are discarded as the initial burn-in period of the MCMC sampler. A further 12,857 VPs are subsequently removed due to the presence of negative average flow-rate, reducing the VPD to 52,143. Due to undesirable behaviour observed in some VPs—asymmetric under- and over-damped pressure and flow-rate profiles in left and right sides of the arterial system—a filter is proposed to remove VPs showing such behaviour. Post application of the filter, the VPD has 28,868 subjects. It is shown that the methodology is appropriate by comparing the VPD statistics to those reported in literature across real populations. Generally, a good agreement between the two is found while respecting physiological/geometrical constraints.
published_date 2021-10-08T04:12:00Z
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score 10.997866

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