Semiautomatic snake-based segmentation of solid breast nodules on ultrasonography

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'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

Citing 3
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Abstract

Ultrasonography plays a crucial role in the diagnosis of breast cancer. However, it is one of the most difficult types of images to segment and analyze. The presence of speckle noise and low contrast areas limits the success of most noise reduction filters and segmentation algorithms. In this paper, we propose a combination of different techniques which provide quite satisfactory results in the segmentation of breast tumors on ultrasonography. It is performed in a semiautomatic way, which eliminates the need for a manual delineation of the contour of the nodules. These techniques include the truncated median filter, a region-growing algorithm and active contours. Furthermore, this can be the initial phase for an exhaustive analysis of the diagnostic criteria in breast ultrasound.