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Title: Texture-based filtering and front-propagation techniques for the segmentation of ultrasound images
Authors: Alemán-Flores, Miguel 
Aleman-Flores, Patricia 
Álvarez-Leon, Luis 
Belén Esteban-Sánchez, M.
Fuentes-Pavón, Rafael
Santana-Montesdeoca, José M.
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120602 Ecuaciones diferenciales
120601 Construcción de algoritmos
32 Ciencias médicas
Keywords: Image texture
Multiple medical disciplines
Issue Date: 2007
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 
Abstract: Ultrasound imaging segmentation is a common method used to help in the diagnosis in multiple medical disciplines. This medical image modality is particularly difficult to segment and analyze since the quality of the images is relatively low, because of the presence of speckle noise. In this paper we present a set of techniques, based on texture findings, to increase the quality of the images. We characterize the ultrasound image texture by a vector of responses to a set of Gabor filters. Also, we combine front-propagation and active contours segmentation methods to achieve a fast accurate segmentation with the minimal expert intervention.
ISBN: 978-3-540-75866-2
ISSN: 0302-9743
DOI: 10.1007/978-3-540-75867-9_120
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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