Model-Free automatic segmentation of the aortic valve in multislice computed tomography images

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dc.authoridUnay, Devrim/0000-0003-3478-7318en_US
dc.authoridoksuz, ilkay/0000-0001-6478-0534en_US
dc.contributor.authorUnay, Devrim
dc.contributor.authorHarmankaya, Ibrahim
dc.contributor.authorOksuz, Ilkay
dc.contributor.authorÇubuk, Rahmi
dc.contributor.authorÇelik, Levent
dc.contributor.authorKadipasaoğlu, Kamuran
dc.date.accessioned2024-07-12T21:37:58Z
dc.date.available2024-07-12T21:37:58Z
dc.date.issued2021en_US
dc.department[Belirlenecek]en_US
dc.description.abstractValvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information complementary to the 2D/3D static images of the valves. To this end, in this study a novel automated model-free aortic valve segmentation method is presented, and its performance is evaluated against expert annotations over conventional contrast-enhanced ECG-gated multislice CT data of the aortic valve at its closed position. Detailed evaluation of the proposed method in 19 real cases revealed an encouraging performance of 3D region growing over Hessian based approach but also demonstrated the complexity of the problem.en_US
dc.identifier.doi10.5505/pajes.2020.26817
dc.identifier.endpage128en_US
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue2en_US
dc.identifier.startpage122en_US
dc.identifier.trdizinid424124en_US
dc.identifier.urihttps://doi.org/10.5505/pajes.2020.26817
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/424124
dc.identifier.urihttps://hdl.handle.net/20.500.12415/6998
dc.identifier.volume27en_US
dc.identifier.wosWOS:000637198500003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.publisherPamukkale Univen_US
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY04340
dc.subjectAortic Valveen_US
dc.subjectSegmentationen_US
dc.subjectModel-Freeen_US
dc.subjectRegion Growingen_US
dc.subjectHessianen_US
dc.subjectSupravalvular Sinus Detectionen_US
dc.subjectAscending Aortaen_US
dc.subjectComputed Tomographyen_US
dc.subjectValvular Heart Diseasesen_US
dc.titleModel-Free automatic segmentation of the aortic valve in multislice computed tomography imagesen_US
dc.typeArticle
dspace.entity.typePublication

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