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dc.contributor.authorQueirós, Sandro Filipe Monteiropor
dc.contributor.authorVilaça, João L.por
dc.contributor.authorMorais, Pedro André Gonçalvespor
dc.contributor.authorFonseca, Jaime C.por
dc.contributor.authorD’hooge, Janpor
dc.contributor.authorBarbosa, Daniel Joaquim Cunhapor
dc.date.accessioned2018-03-20T10:57:57Z-
dc.date.available2018-03-20T10:57:57Z-
dc.date.issued2015-02-
dc.identifier.isbn978-162841503-2por
dc.identifier.issn0277-786Xpor
dc.identifier.urihttps://hdl.handle.net/1822/52908-
dc.description"Progress in Biomedical Optics and Imaging, vol. 16, nr. 41"por
dc.description.abstractIn daily cardiology practice, assessment of left ventricular (LV) global function using non-invasive imaging remains central for the diagnosis and follow-up of patients with cardiovascular diseases. Despite the different methodologies currently accessible for LV segmentation in cardiac magnetic resonance (CMR) images, a fast and complete LV delineation is still limitedly available for routine use. In this study, a localized anatomically constrained affine optical flow method is proposed for fast and automatic LV tracking throughout the full cardiac cycle in short-axis CMR images. Starting from an automatically delineated LV in the end-diastolic frame, the endocardial and epicardial boundaries are propagated by estimating the motion between adjacent cardiac phases using optical flow. In order to reduce the computational burden, the motion is only estimated in an anatomical region of interest around the tracked boundaries and subsequently integrated into a local affine motion model. Such localized estimation enables to capture complex motion patterns, while still being spatially consistent. The method was validated on 45 CMR datasets taken from the 2009 MICCAI LV segmentation challenge. The proposed approach proved to be robust and efficient, with an average distance error of 2.1 mm and a correlation with reference ejection fraction of 0.98 (1.9 ± 4.5%). Moreover, it showed to be fast, taking 5 seconds for the tracking of a full 4D dataset (30 ms per image). Overall, a novel fast, robust and accurate LV tracking methodology was proposed, enabling accurate assessment of relevant global function cardiac indices, such as volumes and ejection fraction.por
dc.description.sponsorshipThe authors acknowledge funding support from FCT - Fundação para a Ciência e Tecnologia, Portugal, in the scope of the PhD grant SFRH/BD/93443/2013 and the project EXPL/BBB-BMD/2473/2013. D. Barbosa would also like to acknowledge the kind support of the Fundação Luso-Americana para o Desenvolvimento (FLAD), which has funded the travel costs for participation at SPIE Medical Imaging 2015.por
dc.language.isoengpor
dc.publisherSociety of Photo-optical Instrumentation Engineers (SPIE) por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/135498/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/COMPETE/135498/PTpor
dc.rightsopenAccesspor
dc.subjectCardiac cine MRIpor
dc.subjectLeft ventricle trackingpor
dc.subjectLocalized affine optical flowpor
dc.subjectGlobal cardiac functionpor
dc.titleFast left ventricle tracking in CMR images using localized anatomical affine optical flowpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationConferenceDate24 - 26 Febr. 2015por
sdum.event.titleSPIE Medical Imaging, 2015por
sdum.event.typeconferencepor
oaire.citationStartPage941306-1por
oaire.citationEndPage941306-7por
oaire.citationConferencePlaceOrlando, Florida, United Statespor
oaire.citationVolume9413-
dc.identifier.eissn1996-756X-
dc.identifier.doi10.1117/12.2082017por
dc.subject.fosEngenharia e Tecnologia::Engenharia Médicapor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.journalProceedings of SPIEpor
sdum.conferencePublicationMedical Imaging 2015: Image Processingpor
Aparece nas coleções:DEI - Artigos em atas de congressos internacionais

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