Left atrial appendage automatic segmentation, in computed tomography images
| dc.contributor.author | Huérfano, Y | |
| dc.contributor.author | Vera, M | |
| dc.contributor.author | Vera, M I | |
| dc.contributor.author | Valbuena, O | |
| dc.contributor.author | Gelvez-Almeida, E | |
| dc.contributor.author | Salazar-Torres, J | |
| dc.contributor.author | Molina, V | |
| dc.date.accessioned | 2020-04-15T03:43:45Z | |
| dc.date.available | 2020-04-15T03:43:45Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | The 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. | eng |
| dc.format.mimetype | eng | |
| dc.identifier.issn | 17426596 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/5110 | |
| 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. 1386 (2019) | eng |
| dc.source.uri | https://iopscience.iop.org/article/10.1088/1742-6596/1386/1/012133 | eng |
| dc.title | Left atrial appendage automatic segmentation, in computed tomography images | eng |
| dc.type | article | eng |
| dc.type.driver | article | eng |
| dcterms.references | Koplay M, Erol C, Paksoy Y, Kivrak A and Ozbek S 2012 An investigation of the anatomical variations of left atrial appendage by multidetector computed tomographic coronary angiography Eur. J. Radiol. 81(1) 1575 | eng |
| dcterms.references | Go A, Hylek E, Phillips K, Chang Y, Henault L and Selby J 2001 Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the anticoagulation and risk factors in atrial fibrillation study JAMA 285(1) 2370 | eng |
| dcterms.references | Park J, Bethencourt A, Sievert H, Santoro G, Meier B and Walsh K 2011 Left atrial appendage closure with amplatzer cardiac plug in atrial fibrillation: initial European experience Catheter Cardiovasc Interv. 77(1) 700 | eng |
| dcterms.references | Jin C, Feng J, Wang L, Yu H, Liu J, Lu J and Zhou J 2018 Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information Comput. Biol. Med. 96(1) 52 | eng |
| dcterms.references | Jin C, Feng J, Wang L, Yu H, Liu J, Lu J and Zhou J 2018 Left atrial appendage segmentation using fully convolutional neural networks and modified three-dimensional conditional random fields IEEE Journal of Biomedical and Health Informatics 22(6) 1906 | eng |
| dcterms.references | Morais P, Queirós S, De Meester P and Budts W 2018 Fast segmentation of the left atrial appendage in 3d transesophageal echocardiographic images IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 65(12) 2332 | eng |
| dcterms.references | Leventic H, Babin D, Velicki L, Devos D, Galic I, Zlokolica V, Romic K and Pižurica A 2019 Left atrial appendage segmentation from 3d ccta images for occluder placement procedure Comput. Biol. Med. 104(1) 163 | eng |
| dcterms.references | González R and Woods R 2001 Digital image processing (USA: Prentice Hall) | eng |
| dcterms.references | Pratt W 2007 Digital image processing (USA: John Wiley & Sons Inc) | eng |
| dcterms.references | Burden R and Faires D 2010 Numerical analysis (Mexico: Cengage learning) | eng |
| dcterms.references | Koenderink J 1984 The structure of images Biol. Cybern. 50 363 | eng |
| dcterms.references | Vera M, Medina R, Del Mar A, Arellano J, Huérfano Y and 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 and 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) p 166 287 | eng |
| dcterms.references | Dice L 1945 Measures of the amount of ecologic association between species Ecology 26(3) 29 | eng |
| oaire.version | info:eu-repo/semantics/publishedVersion | eng |
Archivos
Bloque original
1 - 1 de 1
Cargando...
- Nombre:
- Left_atrial_appendage_AS_computed_tomography.pdf
- Tamaño:
- 871.89 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 381 B
- Formato:
- Item-specific license agreed upon to submission
- Descripción: