Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48809
Campo DC Valoridioma
dc.contributor.authorBhan, Anupamaen_US
dc.contributor.authorGoyal, Ayushen_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorSankhla, Dushyanten_US
dc.contributor.authorKhanna, Pankhurien_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso Hernandez, Jesus B.en_US
dc.date.accessioned2018-11-24T01:07:27Z-
dc.date.available2018-11-24T01:07:27Z-
dc.date.issued2015en_US
dc.identifier.isbn9781479961740en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/48809-
dc.description.abstractLeft Ventricle imaging using short-axis MRI sequences is considered as an important tool used for evaluating cardiac function by calculating important clinical cardiac parameters. This requires manual tracing of LV wall which is subjective, tedious and time-consuming process. This paper presents semi-automatic method for left ventricle inner wall (endocardium) segmentation. This paper focuses on segmenting one complete cardiac cycle without any user intervention. The method used in this paper is region based level sets and vector field convolution active contour model out of which the later method has significantly achieved the better segmentation results. The end systolic and end diastolic volume is calculated by both the methods. The methods are tested on many images and time consumption is reduced using vector field convolution which takes only 30 iterations for segmenting one image per slice. The clinical parameters end diastolic volume, end systolic volume and ejection fraction values obtained from both methods are compared with the values of manually segmented images. The value obtained from vector field convolution gives a closer value to manual segmentation which proves the accuracy of the method and can be considered clinically significant. This semi-automatic approach provides cardiac radiologists a practical method for an accurate segmentation of left ventricle.en_US
dc.languageengen_US
dc.relation.ispartofIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedingsen_US
dc.sourceIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings (7160156), p. 133-138en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherConstrained Active Contoursen_US
dc.subject.otherShapeen_US
dc.subject.otherTrackingen_US
dc.subject.otherSegmentationen_US
dc.subject.otherModelsen_US
dc.subject.otherLeukocytesen_US
dc.subject.otherMotionen_US
dc.subject.otherCardiac Mrien_US
dc.subject.otherSegmentationen_US
dc.subject.otherEndocardiumen_US
dc.subject.otherLevel Setsen_US
dc.subject.otherVector Field Convolution Modelen_US
dc.titleLeft Ventricle wall extraction in cardiac MRI using region based level sets and vector field convolutionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015en_US
dc.identifier.doi10.1109/IWOBI.2015.7160156en_US
dc.identifier.scopus84943153861-
dc.identifier.isi000380501500020-
dc.contributor.authorscopusid56205889500-
dc.contributor.authorscopusid56888353100-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid56888625600-
dc.contributor.authorscopusid56888412700-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid57215888434-
dc.contributor.authorscopusid56888246800-
dc.description.lastpage138en_US
dc.identifier.issue7160156-
dc.description.firstpage133en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid3100561-
dc.contributor.daisngid1838271-
dc.contributor.daisngid35026383-
dc.contributor.daisngid5517154-
dc.contributor.daisngid22472969-
dc.contributor.daisngid265761-
dc.contributor.daisngid418703-
dc.description.numberofpages6en_US
dc.identifier.eisbn978-1-4673-7846-8-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Bhan, A-
dc.contributor.wosstandardWOS:Goyal, A-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Sankhla, D-
dc.contributor.wosstandardWOS:Khanna, P-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Hernandez, JBA-
dc.date.coverdateEnero 2015en_US
dc.identifier.conferenceidevents120978-
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.event.eventsstartdate10-06-2015-
crisitem.event.eventsenddate12-06-2015-
Colección:Actas de congresos
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miniatura
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