dc.creatorHuérfano, Y
dc.creatorVera, M
dc.creatorVera, M I
dc.creatorValbuena, O
dc.creatorGelvez-Almeida, E
dc.creatorSalazar-Torres, J
dc.creatorMolina, V
dc.date.accessioned2020-04-15T03:43:45Z
dc.date.accessioned2022-11-14T19:30:54Z
dc.date.available2020-04-15T03:43:45Z
dc.date.available2022-11-14T19:30:54Z
dc.date.created2020-04-15T03:43:45Z
dc.date.issued2019
dc.identifier17426596
dc.identifierhttps://hdl.handle.net/20.500.12442/5110
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5178354
dc.description.abstractThe left atrial appendage is one of the anatomical places where most frequently blood thrombi occur. When migrating from the appendage, these thrombi, become blood emboli that, potentially, can compromise the physiology and/or anatomy of cardiac or cerebral blood vessels, being able to generate cerebrovascular events. The left atrial appendage segmentation is very difficult due, mainly, to its location and the identical densitometric information presents into of this appendage and around of the left atrium. In this paper, an automatic technique is proposed to segment this appendage with the purpose of generating important information to the procedure called left atrial appendage surgical closure. This information is linked to the volume and the diameters of the left atrial appendage. The technique consists of a digital pre-processing stage, based on filtering processes and definition of a region of interest and, of one segmentation stage that considers a clustering method. The results are promising and they allow us to calculate useful quantitative variables when characterizing the most lethal appendix of the human body represented by the mentioned appendage. These results are very important in clinical processes where both the shape and volume of this appendage are vital for detecting and monitoring some vascular diseases such as cardiac embolism, arterial hypertension and stroke, among others.
dc.languageeng
dc.publisherIOP Publishing
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.sourceJournal of Physics: Conference Series
dc.sourceVol. 1386 (2019)
dc.sourcehttps://iopscience.iop.org/article/10.1088/1742-6596/1386/1/012133
dc.titleLeft atrial appendage automatic segmentation, in computed tomography images
dc.typearticle


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