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dc.contributor.authorAvilés Rivero, Angélica
dc.contributor.authorWidlak, Thomas
dc.contributor.authorCasals Gelpi, Alicia
dc.contributor.authorAmmari, Habib
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-03-03T10:59:15Z
dc.date.issued2016
dc.identifier.citationAvilés, A., Widlak, T., Casals, A., Ammari, H. Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Orlando, FL: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1082-1085.
dc.identifier.isbn978-1-4577-0220-4
dc.identifier.urihttp://hdl.handle.net/2117/101906
dc.description.abstractEstimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has the benefits of combining low-rank data representation with topology preservation. We show through the analysis of experimental results that this combination offers a radical reduction in computational time and noise while ensuring preservation of the anatomical structure of the heart under complex deformations. Although in this work we use the heart as a study case, our solution is promising to analyze other organs experiencing motion.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshCardiovascular system
dc.subject.lcshImaging systems in medicine
dc.subject.otherMotion estimation
dc.subject.otherMedical imaging
dc.subject.otherSurgical robotics
dc.titleTowards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
dc.typeConference report
dc.subject.lemacSistema cardiovascular
dc.subject.lemacImatges mèdiques
dc.contributor.groupUniversitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.identifier.doi10.1109/EMBC.2016.7590919
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7590891/
dc.rights.accessRestricted access - publisher's policy
drac.iddocument19740530
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorAvilés, A., Widlak, T., Casals, A., Ammari, H.
upcommons.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
upcommons.citation.pubplaceOrlando, FL
upcommons.citation.publishedtrue
upcommons.citation.publicationName2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
upcommons.citation.startingPage1082
upcommons.citation.endingPage1085


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