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

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dc.contributor.author Jiménez Carretero, Daniel
dc.contributor.author Fernández de Manuel, Laura
dc.contributor.author Pascau González Garzón, Javier
dc.contributor.author Tellado, José M.
dc.contributor.author Ramón, Enrique
dc.contributor.author Desco Menéndez, Manuel
dc.contributor.author Santos, Andrés
dc.contributor.author Ledesma Carbayo, M. J.
dc.date.accessioned 2015-03-03T10:31:56Z
dc.date.available 2015-03-03T10:31:56Z
dc.date.issued 2011
dc.identifier.bibliographicCitation 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) (2011). IEEE, 3419-3422.
dc.identifier.isbn 978-1-4244-4122-8 (online)
dc.identifier.isbn 978-1-4244-4121-1 (print)
dc.identifier.issn 1557-170X
dc.identifier.uri http://hdl.handle.net/10016/20133
dc.description Proceedings of: 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Boston, MA, USA, 30 August - 03 September 2011.
dc.description.abstract Advanced 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.
dc.description.sponsorship This 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).
dc.format.extent 4
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Ieee - The Institute Of Electrical And Electronics Engineers, Inc
dc.rights © 2011 IEEE
dc.subject.other Biomedical measurement
dc.subject.other Curvature measurement
dc.subject.other Image resolution
dc.subject.other Image segmentation
dc.subject.other Liver
dc.subject.other Medical image processing
dc.subject.other Optimisation
dc.subject.other Volume measurement
dc.subject.other surgery
dc.title Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/IEMBS.2011.6090925
dc.subject.eciencia Medicina
dc.subject.eciencia Biología y Biomedicina
dc.identifier.doi 10.1109/IEMBS.2011.6090925
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1802/ARTEMIS
dc.relation.projectID Gobierno de España. TEC2010-21619-C04
dc.relation.projectID Gobierno de España. PI09/91058
dc.relation.projectID Gobierno de España. PI09/91065
dc.relation.projectID Gobierno de España. PS-300000-2009-5
dc.relation.projectID Gobierno de España. IPT-300000- 2010-3
dc.type.version acceptedVersion
dc.relation.eventdate 30 August - 03 September 2011.
dc.relation.eventnumber 33
dc.relation.eventplace Boston, MA, USA,
dc.relation.eventtitle 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 3419
dc.identifier.publicationlastpage 3422
dc.identifier.publicationtitle 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)
dc.identifier.uxxi CC/0000016164
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