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A particle-based model for endothelial cell migration under flow conditions

Autor: Paul C. Evans, Alfons G. Hoekstra, Pavel Zun, B J M van Rooij, Andrew J. Narracott

Publikováno v: Biomechanics and Modeling in Mechanobiology
Biomechanics and Modeling in Mechanobiology, 19(2), 681-692. Springer Verlag

Endothelial cells (ECs) play a major role in the healing process following angioplasty to inhibit excessive neointima. This makes the process of EC healing after injury, in particular EC migration in a stented vessel, important for recovery of normal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c0c94f761a636fb38fd1fb512ec9c7
https://doi.org/10.1007/s10237-019-01239-w

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Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

Autor: Dongwei Ye, Pavel Zun, Valeria Krzhizhanovskaya, Alfons G. Hoekstra

Publikováno v: Journal of the Royal Society Interface, 19(187):20210864. The Royal Society

In-Stent Restenosis is a recurrence of coronary artery narrowing due to vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptoms or to an acute coronary syndrome. An uncertainty quantification of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afc54923b80517be4fc177703e7104ec
https://dare.uva.nl/personal/pure/en/publications/uncertainty-quantification-of-a-threedimensional-instent-restenosis-model-with-surrogate-modelling(c0ae80c8-a6fe-4472-a131-9322f5ff8394).html

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Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling

Autor: Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria Krzhizhanovskaya

Disorders of coronary arteries lead to severe health problems such as atherosclerosis, angina, heart attack and even death. Considering the clinical significance of coronary arteries, an efficient computational model is a vital step towards tissue en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db206b1587df8d3d9317fe923a3edecb

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Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit

Autor: Vytautas Jancauskas, Peter V. Coveney, Jalal Lakhlili, Diana Suleimenova, Alfons G. Hoekstra, Dongwei Ye, Derek Groen, Michal Kulczewski, Hamid Arabnejad, Pavel Zun, Wouter Edeling, Daan Crommelin, O. O. Luk, Lourens Veen, Valeria V. Krzhizhanovskaya, D. P. Coster

Publikováno v: Journal of Computational Science, 53
Journal of Computational Science, 53:101402. Elsevier
Journal of Computational Science

Copyright © 2021 The Author(s). The VECMA toolkit enables automated Verification, Validation and Uncertainty Quantification (VVUQ) for complex applications that can be deployed on emerging exascale platforms and provides support for software applica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233c6694c7fd22a5ccadeddbbf0643b1
https://bura.brunel.ac.uk/handle/2438/26016

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Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

Autor: Alfons G. Hoekstra, Pavel Zun, Andrey Svitenkov

Publikováno v: Journal of Biomechanics, 120:110361. Elsevier Ltd.
Journal of Biomechanics
Journal of Biomechanics, 120:110361. Elsevier

Computational models are increasingly used to study cardiovascular disease. However, models of coronary vessel remodelling usually make some strong assumptions about the effects of a local narrowing on the flow through the narrowed vessel. Here, we t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7939ae5bc25d5136c94cbfb4323fefaa
https://zenodo.org/record/4943372

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Stenosis Assessment via Volumetric Flow Rate Calculation

Autor: Andrey Svitenkov, Oleg A. Shramko, Pavel Zun

Publikováno v: Computational Science – ICCS 2021 ISBN: 9783030779665
ICCS (3)

Coronary artery stenosis is a condition that restricts blood flow to the myocardium, potentially leading to ischemia and acute coronary events. To decide whether an intervention is needed, different criteria can be used, e.g. calculation of fractiona

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ccd7818ea8df3a780faaae66b1491165
https://doi.org/10.1007/978-3-030-77967-2_59

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Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

Autor: Alfons G. Hoekstra, Pavel Zun, Dongwei Ye, Anna Nikishova, Lourens Veen

Publikováno v: Reliability Engineering and System Safety, 214:107734. Elsevier Ltd.
Reliability Engineering and System Safety, 214:107734. Elsevier
Reliability Engineering & System Safety

The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-stenting tissue growth, in which the most costly submodel is the blood flow simulation. This paper presents uncertainty estimations of the response of this model, as o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e13deaa2dc4e22ea3ea4925c1257ec
http://arxiv.org/abs/2009.00354

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Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis

Autor: Alfons G. Hoekstra, Pavel Zun, Anna Nikishova, Lourens Veen

Publikováno v: Cardiovascular Engineering and Technology, 9(4), 761-774. Springer Publishing Company
Cardiovascular Engineering and Technology

Purpose: Coronary artery stenosis, or abnormal narrowing, is a widespread and potentially fatal cardiac disease. After treatment by balloon angioplasty and stenting, restenosis may occur inside the stent due to excessive neointima formation. Simulati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30e1823a380ed35f9d18952fff1c4e5
http://www.scopus.com/inward/record.url?scp=85057750507&partnerID=8YFLogxK

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Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis

Autor: Lourens Veen, Alfons G. Hoekstra, Anna Nikishova, Pavel Zun

Publikováno v: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377(2142):2018154. The Royal Society

We explore the efficiency of a semi-intrusive uncertainty quantification (UQ) method for multiscale models as proposed by us in an earlier publication. We applied the multiscale metamodelling UQ method to a two-dimensional multiscale model for the wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2af9f8c38eb8022c56267bab35d068b

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