Automatic multiscale vascular image segmentation algorithm for coronary angiography

Author:

Carballal Adrian,Novoa Francisco J.,Fernandez-Lozano Carlos,García-Guimaraes Marcos,Aldama-López Guillermo,Calviño-Santos Ramón,Vazquez-Rodriguez José Manuel,Pazos Alejandro

Funder

General Directorate of Culture, Education and University Management of Xunta de Galicia

Ministry of Economy and Competitiveness of Spain

Juan de la Cierva fellowship program by the Spanish Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference28 articles.

1. World Health Organization, http://www.who.int/mediacentre/factsheets/fs317/es/index.html (accessed: 2010-11-20).

2. American Heart Association, http://www.americanheart.org/presenter.jhtml?identifier=4478 (accessed: 2010-10-25).

3. European Heart Network, European Cardiovascular Disease Statistics, http://www.ehnheart.org/files/statistics2008web-161229A.pdf (accessed: 2010-11-01).

4. Automated segmentation of coronary vessels in angiographic image sequences utilizing temporal, spatial and structural constraints;Brien;Proceedings of SPIE Visualization in Biomedical Computing Spatial and Structural Constraints,1994

5. A review of vessel extraction techniques and algorithms;Kirbas;ACM Comput. Surv.,2004

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