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dc.contributor.authorZhovtobriukh, Ievgeniia
dc.date.accessioned2014-02-08T22:10:09Z
dc.date.issued2013
dc.identifier.citationZhovtobriukh, Ievgeniia. Automatic landmark detection in 3D cardiac ultrasound images. Master thesis, University of Oslo, 2013
dc.identifier.urihttp://hdl.handle.net/10852/38186
dc.description.abstractAutomated landmark detection is an important element of the examination and automatic analysis of 3D ultrasound images. The discovered 3D anatomical landmark points may simplify understanding of a 3D heart orientation and track anatomical structures during the heart cycle. This has further impact on the accuracy of diagnostics and reliability of the final diagnosis. The algorithm presented in this paper applies landmark detection in three perpendicular planes of the 4D VOLDICOM dataset with the fourth dimension representing time. The detection is performed using a cascade of two trained AdaBoost classifiers relying on an extended set of Haar-like features and exploits a manually annotated dataset of 2D ultrasound cardiac images in each plane. The resulting method is able to effectively detect the left ventricle apex and the mitral valve center in the two-chamber heart views with an accuracy comparable to those of the manual detection and other automatic methods presented in the literature.eng
dc.language.isoeng
dc.subjectUltrasound
dc.subjectheart
dc.subjectimage
dc.subjectAdaBoost
dc.subjectVOLDICOM
dc.titleAutomatic landmark detection in 3D cardiac ultrasound imageseng
dc.typeMaster thesis
dc.date.updated2014-03-09T10:59:32Z
dc.creator.authorZhovtobriukh, Ievgeniia
dc.date.embargoenddate3013-10-29
dc.rights.termsDette dokumentet er ikke elektronisk tilgjengelig etter ønske fra forfatter. Tilgangskode/Access code A
dc.identifier.urnURN:NBN:no-40653
dc.type.documentMasteroppgave
dc.rights.accessrightsclosedaccess
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/38186/1/MScThesis_Zhovtobriukh.pdf


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