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dc.contributor.author
Mansilla Alvarez, Luis Alonso
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dc.contributor.author
Bulant, Carlos Alberto
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dc.contributor.author
Ares, G. D.
dc.contributor.author
Feijóo, Raúl Antonino
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dc.contributor.author
Blanco, P. J.
dc.date.available
2023-02-13T17:09:20Z
dc.date.issued
2022-02
dc.identifier.citation
Mansilla Alvarez, Luis Alonso; Bulant, Carlos Alberto; Ares, G. D.; Feijóo, Raúl Antonino; Blanco, P. J.; Feasibility of coronary blood flow simulations using mid-fidelity numeric and geometric models; Springer Heidelberg; Biomechanics And Modeling In Mechanobiology; 21; 1; 2-2022; 317-334
dc.identifier.issn
1617-7959
dc.identifier.uri
http://hdl.handle.net/11336/187783
dc.description.abstract
The fractional flow reserve index (FFR) is currently used as a gold standard to quantify coronary stenosis’s functional relevance. Due to its highly invasive nature, the development of noninvasive surrogates based on simulations has drawn much attention in recent years, emphasizing efficient strategies that enable translational research. The focus of this work is twofold. First, to assess the feasibility of using a mid-fidelity numerical strategy (transversally enriched pipe element method, TEPEM), placed between low- and high-fidelity models, for the estimation of flow-related quantities, such as FFR and wall shear stress (WSS). Low-fidelity models, as zero- or one-dimensional models, are computationally inexpensive but in detriment of poorer spatially detailed predictions. On the other hand, high-fidelity models, such as classical three-dimensional numerical approximations, can provide detailed predictions but their transition to clinical application is prohibitive due to high computational costs. As a second goal, we quantify the impact of the length of lateral branches in the blood flow through the interrogated vessel of interest to further reduce the computational burden. Both studies are addressed considering a cohort of 17 coronary geometries. A total of 20 locations were selected to estimate the FFR index for a wide range of Coronary Flow Reserve (CFR) scenarios. Numerical results suggest that the mid-fidelity TEPEM model is a reliable approach for the efficient estimation of the FFR index and WSS, with an error in the order of 1 % and 5 % , respectively, when compared to the high-fidelity prediction. Moreover, such mid-fidelity models require much less computational resources, in compliance with infrastructure frequently available in the clinic, by achieving a speedup between 30 and 60 times compared to a conventional finite element approach. Also, we show that shortening peripheral branches does not introduce considerable perturbations either in the flow patterns, in the wall shear stress, or the pressure drop. Comparing the different geometric models, the error in the estimation of FFR index and WSS is reduced to less than 0.1 % and 2 % , respectively.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Heidelberg
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COMPUTATIONAL FLUID DYNAMICS
dc.subject
FRACTIONAL FLOW RESERVE
dc.subject
MID-FIDELITY SIMULATIONS
dc.subject
REDUCED-ORDER MODEL
dc.subject.classification
Otras Ingeniería Mecánica
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dc.subject.classification
Ingeniería Mecánica
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.subject.classification
Otras Ingeniería Médica
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dc.subject.classification
Ingeniería Médica
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Feasibility of coronary blood flow simulations using mid-fidelity numeric and geometric models
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-02-09T16:03:03Z
dc.journal.volume
21
dc.journal.number
1
dc.journal.pagination
317-334
dc.journal.pais
Alemania
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dc.description.fil
Fil: Mansilla Alvarez, Luis Alonso. No especifíca;
dc.description.fil
Fil: Bulant, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
dc.description.fil
Fil: Ares, G. D.. Universidad Nacional de Mar del Plata; Argentina
dc.description.fil
Fil: Feijóo, Raúl Antonino. No especifíca;
dc.description.fil
Fil: Blanco, P. J.. No especifíca;
dc.journal.title
Biomechanics And Modeling In Mechanobiology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10237-021-01536-3
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