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Quantifying In Vivo Arterial Deformation from CT and MRI

2026-01Recensão Acesso aberto
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dc.contributor.authorValente, Rodrigo
dc.contributor.authorHenriques, Bernardo
dc.contributor.authorMourato, André
dc.contributor.authorXavier, José
dc.contributor.authorBrito, Moisés
dc.contributor.authorAvril, Stéphane
dc.contributor.authorTomás, António
dc.contributor.authorFragata, José
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.institutionFaculdade de Ciências e Tecnologia (FCT)
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblMDPI AG
dc.date.accessioned2026-04-16T09:40:02Z
dc.date.available2026-04-16T09:40:02Z
dc.date.issued2026-01
dc.descriptionPublisher Copyright: © 2026 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractThis article presents a systematic review on methods for quantifying three-dimensional, time-resolved (3D+t) deformation and motion of human arteries from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched Scopus, Web of Science, IEEE Xplore, Google Scholar, and PubMed on 19 December 2025 for in vivo, patient-specific CT or MRI studies reporting motion or deformation of large human arteries. We included studies that quantified arterial deformation or motion tracking and excluded non-vascular tissues, in vitro or purely computational work. Thirty-five studies were included in the qualitative synthesis; most were small, single-centre observational cohorts. Articles were analysed qualitatively, and results were synthesised narratively. Across the 35 studies, the most common segmentation approaches are active contours and threshold, while temporal motion is tracked using either voxel registration or surface methods. These kinematic data are used to compute metrics such as circumferential and longitudinal strain, distensibility, and curvature. Several studies also employ inverse methods to estimate wall stiffness. The findings consistently show that arterial strain decreases with age (on the order of 20% per decade in some cases) and in the presence of disease, that stiffness correlates with geometric remodelling, and that deformation is spatially heterogeneous. However, insufficient data prevents meaningful comparison across methods.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent329001
dc.identifier.doi10.3390/bioengineering13010121
dc.identifier.issn2306-5354
dc.identifier.otherPURE: 155106261
dc.identifier.otherPURE UUID: ddd5f192-29de-4d95-b0a4-a760ce88b3f7
dc.identifier.otherScopus: 105029013439
dc.identifier.otherWOS: 001670798700001
dc.identifier.otherPubMed: 41596052
dc.identifier.urihttp://hdl.handle.net/10362/202274
dc.identifier.urlhttps://www.scopus.com/pages/publications/105029013439
dc.language.isoeng
dc.peerreviewedyes
dc.subjectbiomechanical metrics
dc.subjectCT imaging
dc.subjectimage segmentation
dc.subjectin vivo arterial deformation
dc.subjectMRI
dc.subjectsystematic review
dc.subjecttemporal registration
dc.subjectBioengineering
dc.subjectSDG 3 - Good Health and Well-being
dc.titleQuantifying In Vivo Arterial Deformation from CT and MRIen
dc.title.subtitleA Systematic Review of Segmentation, Motion Tracking, and Kinematic Metricsen
dc.typereview
degois.publication.issue1
degois.publication.titleBioengineering
degois.publication.volume13
dspace.entity.typePublication
rcaap.rightsopenAccess

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