Usefulness of cutting planes in the hierarchical segmentation of cardiac anatomical structures
| dc.contributor.author | Vera, M | |
| dc.contributor.author | Valbuena, O | |
| dc.contributor.author | Huérfano, Y | |
| dc.contributor.author | Vera, M I | |
| dc.contributor.author | Gelvez-Almeida, E | |
| dc.contributor.author | Salazar-Torres, J | |
| dc.date.accessioned | 2020-04-15T20:11:40Z | |
| dc.date.available | 2020-04-15T20:11:40Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | A spatial geometric plane is defined by the three-dimensional coordinates of a pair of spatial points and the direction that the normal vector establishes, which is formed by joining those points by means of an oriented line segment. This type of planes, in three-dimensional images, is extremely useful as an alternative solution to the problem of low contrast that exhibit the anatomical structures present in cardiac computed tomography images. To do this, after using a predetermined filter bank and in order to define a region of interest, a smart operator based on least squares support vector machines is trained and validated in order to detect the aforementioned coordinates which enables the location of the plane, in the three-dimensional space that contains the considered images. Once the structure that is required to segment is identified, a discriminant function is used that cancels all information not linked to this structure. In this work, the segmentation of the left ventricle, based on region growing technique, is firstly considered and then the left atrium is segmented considering region growing technique and an inverse discriminant function. The results show an excellent correspondence relationship when the spatial union of both structures is made. | eng |
| dc.format.mimetype | eng | |
| dc.identifier.issn | 17426596 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/5114 | |
| dc.language.iso | eng | eng |
| dc.publisher | IOP Publishing | eng |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | eng |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | Journal of Physics: Conference Series | eng |
| dc.source | Vol. 1408 (2019) | eng |
| dc.source.uri | https://iopscience.iop.org/article/10.1088/1742-6596/1408/1/012005 | eng |
| dc.title | Usefulness of cutting planes in the hierarchical segmentation of cardiac anatomical structures | eng |
| dc.type | article | eng |
| dc.type.driver | article | eng |
| dcterms.references | Vera M 2014 Segmentación de estructuras cardiacas en imágenes de tomografía computarizada multicorte (Mérida: Universidad de Los Andes) | spa |
| dcterms.references | Bravo A, Mantilla J, Clemente J, Vera M, Medina R 2010 Left ventricle segmentation and motion analysis in multi-slice computerized tomography Biomedical image analysis and machine learning technologies: applications and techniques ed F Gonzalez (New York: Medical Information Science Reference) p 307 | eng |
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| dcterms.references | Huérfano Y, Vera M, Del Mar A, Bravo A 2019 Integrating a gradient–based difference operator with machine learning techniques in right heart segmentation J. Phys. Conf. Ser. 1160 012003 | eng |
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| dcterms.references | Vera M, Medina R, Del Mar A, Arellano J, Huérfano Y, Bravo A 2019 An automatic technique for left ventricle segmentation from msct cardiac volumes J. Phys. Conf. Ser. 1160 012001 | eng |
| dcterms.references | Bravo A, Vera M, Garreau M, Medina R 2011 Three–dimensional segmentation of ventricular heart chambers from multi–slice computerized tomography: An hybrid approach Proc. Digital Information and Communication Technology and Its Applications (France: Springer) 166 287 | eng |
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| oaire.version | info:eu-repo/semantics/publishedVersion | eng |
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