Abstract
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 thickness and noise levels, obtaining an edge detection with a maximal mean error lower than 16 percent of a pixel.
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References
Capasso, P.: Terapéutica endovascular en la aorta torácica. In: Villamor, C., Martín, J., Moliner, M. (eds.) Diagnóstico y terapéutica endoluminal. Radiología intervencionista, pp. 303–322. Masson, Barcelona (2002)
DeBakey, M.E., Cooley, D.A., Creech Jr., O.: Surgical considerations of dissecting aneurysms of the aorta. Ann. Surg. 142, 586–592 (1955)
Da, F., Zhang, H.: Sub-pixel edge detection based on an improved moment. Image Vision Comput. 28, 1645–1658 (2010)
Ye, J., Fu, G., Poudel, U.P.: High-accuracy edge detection with blurred edge model. Image and Vision Computing 23(5), 453–467 (2005)
Krissian, K., Aja-Fernández, S.: Noise-Driven Anisotropic Diffusion Filtering of MRI. IEEE Transactions on Image Processing 18(10) (October 2009)
Xie, Q.L.S.H., Quin, S.: Sub-pixel edge detection for precision measurement based on canny criteria. Key Engineering Materials 295, 711–716 (2005)
Trujillo- Pino, A.: Localización de contornos con precisión sub-pixel en imágenes bidimensionales y tridimensionales Director: Álvarez León, L. Co-directors: Esclarín Monreal, J., Alemán Flores, M., Doctoral Thesis. Universidad de las Palmas de Gran Canaria, Computer and Systems Department (2004)
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Trujillo-Pino, A., Krissian, K., Santana-Cedrés, D., Esclarín-Monreal, J., Carreira-Villamor, J.M. (2012). A Subpixel Edge Detector Applied to Aortic Dissection Detection. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_28
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DOI: https://doi.org/10.1007/978-3-642-27579-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27578-4
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