On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses

The assessment of cardiovascular hemodynamics with computational techniques is establishing its fundamental contribution within the world of modern clinics. Great research interest was focused on the aortic vessel. The study of aortic flow, pressure, and stresses is at the basis of the understanding...

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Autores principales:	Simona Celi, Emanuele Vignali, Katia Capellini, Emanuele Gasparotti
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	uncertainty quantification aorta computational methods CFD - computational fluid dynamics FSI - fluid structure interaction RBF - radial basis functions Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/8b834a268e954a5d82501154285ee90d
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spelling	oai:doaj.org-article:8b834a268e954a5d82501154285ee90d2021-12-01T22:37:20ZOn the Role and Effects of Uncertainties in Cardiovascular in silico Analyses2673-312910.3389/fmedt.2021.748908https://doaj.org/article/8b834a268e954a5d82501154285ee90d2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmedt.2021.748908/fullhttps://doaj.org/toc/2673-3129The assessment of cardiovascular hemodynamics with computational techniques is establishing its fundamental contribution within the world of modern clinics. Great research interest was focused on the aortic vessel. The study of aortic flow, pressure, and stresses is at the basis of the understanding of complex pathologies such as aneurysms. Nevertheless, the computational approaches are still affected by sources of errors and uncertainties. These phenomena occur at different levels of the computational analysis, and they also strongly depend on the type of approach adopted. With the current study, the effect of error sources was characterized for an aortic case. In particular, the geometry of a patient-specific aorta structure was segmented at different phases of a cardiac cycle to be adopted in a computational analysis. Different levels of surface smoothing were imposed to define their influence on the numerical results. After this, three different simulation methods were imposed on the same geometry: a rigid wall computational fluid dynamics (CFD), a moving-wall CFD based on radial basis functions (RBF) CFD, and a fluid-structure interaction (FSI) simulation. The differences of the implemented methods were defined in terms of wall shear stress (WSS) analysis. In particular, for all the cases reported, the systolic WSS and the time-averaged WSS (TAWSS) were defined.Simona CeliEmanuele VignaliKatia CapelliniKatia CapelliniEmanuele GasparottiEmanuele GasparottiFrontiers Media S.A.articleuncertainty quantificationaortacomputational methodsCFD - computational fluid dynamicsFSI - fluid structure interactionRBF - radial basis functionsMedical technologyR855-855.5ENFrontiers in Medical Technology, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	uncertainty quantification aorta computational methods CFD - computational fluid dynamics FSI - fluid structure interaction RBF - radial basis functions Medical technology R855-855.5
spellingShingle	uncertainty quantification aorta computational methods CFD - computational fluid dynamics FSI - fluid structure interaction RBF - radial basis functions Medical technology R855-855.5 Simona Celi Emanuele Vignali Katia Capellini Katia Capellini Emanuele Gasparotti Emanuele Gasparotti On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
description	The assessment of cardiovascular hemodynamics with computational techniques is establishing its fundamental contribution within the world of modern clinics. Great research interest was focused on the aortic vessel. The study of aortic flow, pressure, and stresses is at the basis of the understanding of complex pathologies such as aneurysms. Nevertheless, the computational approaches are still affected by sources of errors and uncertainties. These phenomena occur at different levels of the computational analysis, and they also strongly depend on the type of approach adopted. With the current study, the effect of error sources was characterized for an aortic case. In particular, the geometry of a patient-specific aorta structure was segmented at different phases of a cardiac cycle to be adopted in a computational analysis. Different levels of surface smoothing were imposed to define their influence on the numerical results. After this, three different simulation methods were imposed on the same geometry: a rigid wall computational fluid dynamics (CFD), a moving-wall CFD based on radial basis functions (RBF) CFD, and a fluid-structure interaction (FSI) simulation. The differences of the implemented methods were defined in terms of wall shear stress (WSS) analysis. In particular, for all the cases reported, the systolic WSS and the time-averaged WSS (TAWSS) were defined.
format	article
author	Simona Celi Emanuele Vignali Katia Capellini Katia Capellini Emanuele Gasparotti Emanuele Gasparotti
author_facet	Simona Celi Emanuele Vignali Katia Capellini Katia Capellini Emanuele Gasparotti Emanuele Gasparotti
author_sort	Simona Celi
title	On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
title_short	On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
title_full	On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
title_fullStr	On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
title_full_unstemmed	On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses
title_sort	on the role and effects of uncertainties in cardiovascular in silico analyses
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/8b834a268e954a5d82501154285ee90d
work_keys_str_mv	AT simonaceli ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses AT emanuelevignali ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses AT katiacapellini ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses AT katiacapellini ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses AT emanuelegasparotti ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses AT emanuelegasparotti ontheroleandeffectsofuncertaintiesincardiovascularinsilicoanalyses
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On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses

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