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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorScarsoglio, Stefania
dc.contributor.authorRidolfi, Luca
dc.contributor.authorGuala, Andrea
dc.contributor.authorCalò, Karol
dc.contributor.authorGallo, Diego
dc.contributor.authorRodríguez Palomares, Jose Fernando
dc.date.accessioned2022-02-22T07:22:00Z
dc.date.available2022-02-22T07:22:00Z
dc.date.issued2021-09
dc.identifier.citationCalò K, Gallo D, Guala A, Rodriguez-Palomares J, Scarsoglio S, Ridolfi L, et al. Combining 4D Flow MRI and Complex Networks Theory to Characterize the Hemodynamic Heterogeneity in Dilated and Non-dilated Human Ascending Aortas. Ann Biomed Eng. 2021 Sep;49(9):2441–2453.
dc.identifier.issn1573-9686
dc.identifier.urihttps://hdl.handle.net/11351/7050
dc.descriptionAortic dilation; Ascending aorta aneurysm; Spatiotemporal analysis
dc.description.abstractMotivated by the evidence that the onset and progression of the aneurysm of the ascending aorta (AAo) is intertwined with an adverse hemodynamic environment, the present study characterized in vivo the hemodynamic spatiotemporal complexity and organization in human aortas, with and without dilated AAo, exploring the relations with clinically relevant hemodynamic and geometric parameters. The Complex Networks (CNs) theory was applied for the first time to 4D flow magnetic resonance imaging (MRI) velocity data of ten patients, five of them presenting with AAo dilation. The time-histories along the cardiac cycle of velocity-based quantities were used to build correlation-based CNs. The CNs approach succeeded in capturing large-scale coherent flow features, delimiting flow separation and recirculation regions. CNs metrics highlighted that an increasing AAo dilation (expressed in terms of the ratio between the maximum AAo and aortic root diameter) disrupts the correlation in forward flow reducing the correlation persistence length, while preserving the spatiotemporal homogeneity of secondary flows. The application of CNs to in vivo 4D MRI data holds promise for a mechanistic understanding of the spatiotemporal complexity and organization of aortic flows, opening possibilities for the integration of in vivo quantitative hemodynamic information into risk stratification and classification criteria.
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesAnnals of Biomedical Engineering;49(9)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectAorta - Imatgeria
dc.subjectImatgeria per al diagnòstic
dc.subjectHemodinàmica
dc.subject.meshHemodynamics
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshAorta
dc.subject.mesh/diagnostic imaging
dc.titleCombining 4D Flow MRI and Complex Networks Theory to Characterize the Hemodynamic Heterogeneity in Dilated and Non-dilated Human Ascending Aortas
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/s10439-021-02798-9
dc.subject.decshemodinámica
dc.subject.decsimagen por resonancia magnética
dc.subject.decsaorta
dc.subject.decs/diagnóstico por imagen
dc.relation.publishversionhttps://doi.org/10.1007/s10439-021-02798-9
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Calò K, Gallo D, Scarsoglio S, Ridolfi L] PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy. [Guala A] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. CIBER-CV, Instituto de Salud Carlos III (ISCIII), Madrid, Spain. [Rodriguez Palomares J] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. CIBER-CV, Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain
dc.identifier.pmid34080100
dc.identifier.wos000657244100002
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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