Texture-based filtering and front-propagation techniques for the segmentation of ultrasound images

Authors:
Miguel Alemán-Flores;Patricia Alemán-Flores;Luis Álvarez-León;M. Belén Esteban-Sánchez;Rafael Fuentes-Pavón;José M. Santana-Montesdeoca
Affiliations:
Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;Sección de Ecografía, Servicio de Radiodiagnóstico, Hospital Universitario Insular de Gran Canaria, Las Palmas, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;Sección de Ecografía, Servicio de Radiodiagnóstico, Hospital Universitario Insular de Gran Canaria, Las Palmas, Spain;Sección de Ecografía, Servicio de Radiodiagnóstico, Hospital Universitario Insular de Gran Canaria, Las Palmas, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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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.