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Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints

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dc.affiliation.dptoUC3M. Departamento de Bioingenieríaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Biomedical Imaging and Instrumentation Groupes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: BSEL - Laboratorio de Ciencia e Ingeniería Biomédicaes
dc.contributor.authorJiménez Carretero, Danieles
dc.contributor.authorFernández de Manuel, Lauraes
dc.contributor.authorPascau González-Garzón, Javieres
dc.contributor.authorTellado, José M.es
dc.contributor.authorRamón, Enriquees
dc.contributor.authorDesco Menéndez, Manueles
dc.contributor.authorSantos, Andréses
dc.contributor.authorLedesma Carbayo, María Jesús
dc.date.accessioned2015-03-03T10:31:56Z
dc.date.available2015-03-03T10:31:56Z
dc.date.issued2011
dc.descriptionProceedings of: 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Boston, MA, USA, 30 August - 03 September 2011.en
dc.description.abstractAdvanced liver surgery requires a precise pre-operative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous level-set algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structures.en
dc.description.sponsorshipThis study was partially supported by research projects PI09/91058, PI09/91065,ENTEPRASE PS-300000-2009-5, AMIT-CDTI, TEC2010-21619-C04 and PRECISION IPT-300000- 2010-3, from Spain’s Ministry of Science & Innovation, the project ARTEMIS Comunidad de Madrid, and with assistance from the European Regional Development Fund (FEDER).en
dc.description.statusPublicadoes
dc.format.extent4
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) (2011). IEEE, 3419-3422.en
dc.identifier.doi10.1109/IEMBS.2011.6090925
dc.identifier.isbn978-1-4244-4122-8 (online)
dc.identifier.isbn978-1-4244-4121-1 (print)
dc.identifier.issn1557-170X
dc.identifier.publicationfirstpage3419
dc.identifier.publicationlastpage3422
dc.identifier.publicationtitle2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)en
dc.identifier.urihttps://hdl.handle.net/10016/20133
dc.identifier.uxxiCC/0000016164
dc.language.isoeng
dc.publisherIeee - The Institute Of Electrical And Electronics Engineers, Incen
dc.relation.eventdate30 August - 03 September 2011.en
dc.relation.eventnumber33
dc.relation.eventplaceBoston, MA, USA,en
dc.relation.eventtitle2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)en
dc.relation.projectIDComunidad de Madrid. S2009/DPI-1802/ARTEMISes
dc.relation.projectIDGobierno de España. TEC2010-21619-C04es
dc.relation.projectIDGobierno de España. PI09/91058es
dc.relation.projectIDGobierno de España. PI09/91065es
dc.relation.projectIDGobierno de España. PS-300000-2009-5es
dc.relation.projectIDGobierno de España. IPT-300000- 2010-3es
dc.relation.publisherversionhttp://dx.doi.org/10.1109/IEMBS.2011.6090925es
dc.rights© 2011 IEEEes
dc.rights.accessRightsopen accessen
dc.subject.ecienciaMedicinaes
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.otherBiomedical measurementen
dc.subject.otherCurvature measurementen
dc.subject.otherImage resolutionen
dc.subject.otherImage segmentationen
dc.subject.otherLiveren
dc.subject.otherMedical image processingen
dc.subject.otherOptimisationen
dc.subject.otherVolume measurementen
dc.subject.othersurgeryen
dc.titleOptimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraintses
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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