Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/11278
Títulos: A subpixel edge detector applied to aortic dissection detection
Autores/as: Trujillo-Pino, Agustín 
Krissian, Karl
Santana Cedrés, Daniel Elías 
Esclarín Monreal, Julio 
Carreira-Villamor, José Martín
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Aortic dissection
Subpixel edge detection
Anisotropic diffusion
Fecha de publicación: 2012
Resumen: The aortic dissection is a disease that can cause a deadly situation, even with a correct treatment. It consists in a rupture of a layer of the aortic artery wall, causing a blood flow inside this rupture, called dissection. The aim of this paper is to contribute to its diagnosis, detecting the dissection edges inside the aorta. A subpixel accuracy edge detector based on the hypothesis of partial volume effect is used, where the intensity of an edge pixel is the sum of the contribution of each color weighted by its relative area inside the pixel. The method uses a floating window centred on the edge pixel and computes the edge features. The accuracy of our method is evaluated on synthetic images of different hickness and noise levels, obtaining an edge detection with a maximal mean error lower than 16 percent of a pixel.
URI: http://hdl.handle.net/10553/11278
Derechos: by-nc-nd
Aparece en la colección:Actas de Congresos

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