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In vitro biomodels in stenotic arteries to perform blood analogues flow visualizations and measurements: a review

dc.contributor.authorCarvalho, Violeta Meneses
dc.contributor.authorMaia, Inês
dc.contributor.authorSouza, Andrews
dc.contributor.authorRibeiro, J.E.
dc.contributor.authorCosta, Pedro
dc.contributor.authorPuga, Hélder Fernandes
dc.contributor.authorTeixeira, Senhorinha F.C.F.
dc.contributor.authorLima, Rui A.
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2021-02-27T13:00:39Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2021-02-27T13:00:39Z
dc.date.issued2020
dc.description.abstractCardiovascular diseases are one of the leading causes of death globally and the most common pathological process is atherosclerosis. Over the years, these cardiovascular complications have been extensively studied by applying in vivo, in vitro and numerical methods (in silico). In vivo studies represent more accurately the physiological conditions and provide the most realistic data. Nevertheless, these approaches are expensive, and it is complex to control several physiological variables. Hence, the continuous effort to find reliable alternative methods has been growing. In the last decades, numerical simulations have been widely used to assess the blood flow behavior in stenotic arteries and, consequently, providing insights into the cardiovascular disease condition, its progression and therapeutic optimization. However, it is necessary to ensure its accuracy and reliability by comparing the numerical simulations with clinical and experimental data. For this reason, with the progress of the in vitro flow measurement techniques and rapid prototyping, experimental investigation of hemodynamics has gained widespread attention. The present work reviews state-of-the-art in vitro macro-scale arterial stenotic biomodels for flow measurements, summarizing the different fabrication methods, blood analogues and highlighting advantages and limitations of the most used techniques.en_EN
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, UIDB/04077/2020, UIDB/00690/2020, UIDB/04436/2020 and NORTE-01-0145-FEDER-030171, NORTE-01-0145-FEDER-029394 funded by COMPETE2020, NORTE 2020, PORTUGAL 2020, Lisb@2020 and FEDER.
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationCarvalho, Violeta; Maia, Inês; Souza, Andrews; Ribeiro, João; Costa, Pedro; Puga, H.; Teixeira, Senhorinha; Lima, Rui A. (2020) - In vitro biomodels in stenotic arteries to perform blood analogues flow visualizations and measurements: a review. Open Biomedical Engineering Journal. ISSN 1874-1207. 14:1, p. 87-102en_EN
dc.identifier.doi10.2174/1874120702014010087en_EN
dc.identifier.urihttp://hdl.handle.net/10198/23334
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.relationALGORITMI Research Center
dc.relationMechanical Engineering and Resource Sustainability Center
dc.relationMountain Research Center
dc.relationMicroelectromechanical Systems Research Unit
dc.subjectBlood analoguesen_EN
dc.subjectBlood flowen_EN
dc.subjectCardiovascular diseasesen_EN
dc.subjectFlow measurementsen_EN
dc.subjectHemodynamicsen_EN
dc.subjectIn vitroen_EN
dc.subjectRapid prototypingen_EN
dc.subjectStenosisen_EN
dc.titleIn vitro biomodels in stenotic arteries to perform blood analogues flow visualizations and measurements: a reviewen_EN
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Center
oaire.awardTitleMechanical Engineering and Resource Sustainability Center
oaire.awardTitleMountain Research Center
oaire.awardTitleMicroelectromechanical Systems Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04077%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04436%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSouza
person.familyNameRibeiro
person.givenNameAndrews
person.givenNameJ.E.
person.identifierR-000-6Y8
person.identifier.ciencia-idD81A-5D25-86CD
person.identifier.ciencia-id0F15-FB62-29DB
person.identifier.orcid0000-0001-6300-148X
person.identifier.ridG-3839-2018
person.identifier.scopus-author-id25638652400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
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