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dc.contributor.authorGodino Moya, Alejandro 
dc.contributor.authorCloquell, Thibauld
dc.contributor.authorRoyuela del Val, Javier
dc.contributor.authorMartín Fernández, Marcos Antonio 
dc.contributor.authorAlberola López, Carlos 
dc.date.accessioned2018-09-03T17:55:09Z
dc.date.available2018-09-03T17:55:09Z
dc.date.issued2017
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/31377
dc.description.abstractMRI is considered the gold standard for the imaging of cardiac function and anatomy. In regular cardiac MRI, an external ECG monitor is required in order to synchronize the data acquisition with the motion of the heart. However, this additional hardware increases the examination, preparation and acquisition times. The aim of this proposal is to avoid the necessity of this additional hardware in cardiac MRI examinations by developing an automatic method to recover the cardiac cycle information directly from the MRI data both in breath-hold and free breathing situations. Some different scenarios have been considered and some methods have been proposed with good performances, obtaining errors between 1-4%.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAvoiding additional hardware and recovering cardiac information from k-spacees
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.title.eventCASEIB 2017es
dc.rightsAttribution 4.0 International


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