SA-net: A sequence aware network for the segmentation of the left atrium in cine MRI datasets

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dc.authorid0000-0001-7153-7583en_US
dc.authorscopusid57204017683en_US
dc.contributor.authorUslu, Fatmatülzehra
dc.contributor.authorVarela, Marta
dc.date.accessioned2022-04-21T06:45:19Z
dc.date.available2022-04-21T06:45:19Z
dc.date.issued2021en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe segmentation of the left atrium (LA) in CINE MRI is a prerequisite for the calculation of LA functional parameters and may be useful when selecting treatments for atrial fibrillation patients. CINE MRI usually captures both the LA and the left ventricle. The similarities between the LA and other cardiac structures complicate the segmentation of the LA and can lead to poor performance of standard 2D segmentation networks. In this study, we present SA-Net, a deep network which implicitly discriminates LA slices from non-LA slices during segmentation, with a sequence modulator using interslice correlations in a global context. Our experiments, conducted on an in-house dataset with 4710-mm thick bSSFP MR image stacks, show that SA-Net leads to good quality segmentation of the LA, with a mean Dice score of 0.89 and a mean Jaccard index of 0.80, outperforming the U-Net.en_US
dc.identifier.doi10.1109/ISBI48211.2021.9434147en_US
dc.identifier.endpage769en_US
dc.identifier.isbn978-166541246-9
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage766en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1956
dc.identifier.volume2021en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorUslu, Fatmatülzehra
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof18th IEEE International Symposium on Biomedical Imaging, ISBI 2021en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCardiac image analysisen_US
dc.subjectNetwork modulationen_US
dc.subjectRecurrent networksen_US
dc.subjectU-neten_US
dc.titleSA-net: A sequence aware network for the segmentation of the left atrium in cine MRI datasetsen_US
dc.typeConference Objecten_US

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