Reconstrucción 3-D del Ventrículo Izquierdo de Corazón Humano a partir de Angiocardiografía Rotacional por Rayos X Usando Conectores Difusos
| dc.contributor.author | Gerardo Chacón, José | |
| dc.contributor.author | Rodríguez, Johel | |
| dc.contributor.author | Vera, Miguel | |
| dc.contributor.author | Madriz, Delia | |
| dc.contributor.author | Bravo, Antonio | |
| dc.date.accessioned | 2019-03-06T16:23:10Z | |
| dc.date.available | 2019-03-06T16:23:10Z | |
| dc.date.issued | 2019-07 | |
| dc.description.abstract | En este trabajo, se propone un método de reconstrucción tri-dimensional aproximada del ventrículo izquierdo de corazón humano. El método realiza la reconstrucción a partir de la información asociada a los niveles de gris y considera la geometría de proyección perspectiva expresada por el modelo pin-hole. El método está inspirado en la etapa de aproximación utilizada por los enfoques difuso y probatorio. La reconstrucción tridimensional se realiza combinando la retroproyección de cada una de las proyecciones de la cavidad en la misma fase del ciclo cardíaco. La información de nivel de gris de las imágenes de entrada se combina mediante conectores difusos. Los conectores difusos considerados corresponden a norma T, conorma T, función de promediación y el operador de compensación generalizada del conector difusa lógico. El método de reconstrucción genera errores menores al 13.23%. | spa |
| dc.description.abstract | In this research, an approximate left ventricle human heart cavity three-dimensional reconstruction method is proposed. The approach performs the gray-level reconstruction and considers the oblique projection geometry expressed by the pin-hole model. The approach is inspired in the approximate stage used for the fuzzy and evidential approach. Three-dimensional reconstruction is performed by combining the back-projection of each of the views representing the same phase of the cardiac cycle. The gray-level information from the input images is combined by means fuzzy connectives. The fuzzy connectives considered correspond to T-norm, T-conorm, averaging function and the generalized compensation operator of the logic fuzzy connective. The reconstruction approach generates errors less than 13.23%. | eng |
| dc.identifier.issn | 24146390 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12442/2733 | |
| dc.language.iso | spa | spa |
| dc.publisher | Latin American and Caribbean Consortium of Engineering Institutions, LACCEI | eng |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.license | Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional | spa |
| dc.source | 16th LACCEI International Multi-Conference for Engineering, Education and Technology : “Innovation in Education and Inclusion” | eng |
| dc.source | July 19-21, 2018 | spa |
| dc.source.uri | http://dx.doi.org/10.18687/LACCEI2018.1.1.448 | spa |
| dc.subject | Reconstrucción tri-dimensional | spa |
| dc.subject | Conectores difusos | spa |
| dc.subject | Modelo pin-hole | spa |
| dc.subject | Angiografía rotacional | spa |
| dc.subject | Ventrículo izquierdo | spa |
| dc.subject | Three-dimensional reconstruction | eng |
| dc.subject | Fuzzy connectives | eng |
| dc.subject | Pin-hole model | eng |
| dc.subject | Rotational angiography | eng |
| dc.subject | Left ventricle | eng |
| dc.title | Reconstrucción 3-D del Ventrículo Izquierdo de Corazón Humano a partir de Angiocardiografía Rotacional por Rayos X Usando Conectores Difusos | spa |
| dc.type | Conference | spa |
| dcterms.references | J. Maddux, S.-Y. Chen, B. Groves, J. Messenger, O. Wink, y J. Carroll, “Rotational angiography and 3D coronary modeling: revolutions in the cardiac cath lab”. MedicaMundi. vol 47, no. 2. pp. 8–14, 2003. | eng |
| dcterms.references | G. T. Herman, “Image reconstruction from projections,” Real-Time Imaging, vol. 1, no.1, pp. 3–18, 1995. | eng |
| dcterms.references | H. Cornelis and J. J. Gerbrands, “A network flow approach to reconstruction of the left ventricle from two projections,” Computer Graphics and Image Processing, vol. 18, np. 1, pp. 18–36, 1982. | eng |
| dcterms.references | M. Moriyama, Y. Sato, H. Naito, M. Hanyama, T. Ueguchi, T. Harada, F. Yoshimoto, y S. Tamura, “Reconstruction of time–varing 3-D leftventricular shape from multiview X-ray cineangiocardiogramas”. IEEE Transactions on Medical Imaging. vol, 21, no. 7, pp. 773–785, 2002. | eng |
| dcterms.references | H. Kelh, J. Jäger, N. Papazis, D. Dimitrelos, J. Gehrmann, R. Kassenböhmer, J. Vogt, y G. Sakas. 3D heart modeling from biplane rotational angiocardiographic X–ray sequences. Computers & Graphics. vol. 24, no. 5. pp. 731–739, 2000. | eng |
| dcterms.references | R. Medina, M. Garreau, J. Toro, J. L. Coatrieux, y D. Jugo, “Threedimensional reconstruction of the left ventricle from two angiographic views: An evidence combination approach,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 34, no. 3, pp. 359–370, 2004. | eng |
| dcterms.references | R. Horaud, y O. Monga. Vision par ordinateur, outils fondamentaux. Paris: HERMES, 1993. | eng |
| dcterms.references | W. Schroeder, K. Martin, y B. Lorensen. The Visualization Toolkit, An Object-Oriented Approach to 3D Graphics. New York: Prentice Hall, 2001. | eng |
| dcterms.references | A. Bravo y R. Medina, “Enfoque para la reconstrucción del ventrículo izquierdo en angiografía rotacional por rayos X”, Revista Científica UNET, vol. 25, no. 1, pp. 1-18, 2013. | spa |
| dcterms.references | H. Hauser, L. Mroz, G. I. Bischi, y M. E. Groller. “Two-level volume rendering”. IEEE Transactions on Visualization and Computer Graphics. Vol. 7, no. 3, pp. 242-252, 2001. | eng |
| dcterms.references | M. Mizumot, “Pictorial Representations of fuzzy connectives, Part I: Cases of T norms, T-conorms and averaging operators”. Fuzzy Sets and Systems, vol. 31, no 2, 217–242. 1989. | eng |
| dcterms.references | M. Mizumoto, “Pictorial Representations of fuzzy connectives, Part II: Cases of Compensatory Operators and Seft-dual Operators”. Fuzzy Sets and Systems, vol. 32, no 1, 45–79. 1989. | eng |
| dcterms.references | Herrera F., Herrera-Viedma E., Lozano M., Verdegay J.L.. “Fuzzy Tools to Improve Genetic Algorithms”, Proc. of the Second European Congress on Intelligent Techniques and Soft Computing, Junio, pp. 1532-1539, 1994. | eng |
| dcterms.references | Gupta M.M., Qi J., “Theory of T-norms and fuzzy inference methods”, Fuzzy Sets and Systems, vol. 40, no. 3, pp 431-450, 1991. | eng |