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Published in:
2011 | OriginalPaper | Chapter
Segmentation of the Carotid Artery in Ultrasound Images Using Neural Networks
Authors : Rosa-María Menchón-Lara, M-Consuelo Bastida-Jumilla, Juan Morales-Sánchez, Rafael Verdú-Monedero, Jorge Larrey-Ruiz, José Luis Sancho-Gómez
Published in: New Challenges on Bioinspired Applications
Publisher: Springer Berlin Heidelberg
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Atherosclerosis is a cardiovascular disease very widespread into population. The intima-media thickness (IMT) is a reliable early indicator of this pathology. The IMT is measured by the doctor using images acquired with a B-scan ultrasound and this fact presents several problems. Image segmentation can detect the IMT throughout the artery length in an automatic way. This paper presents an effective segmentation method based on the use of a neural network ensemble. The obtained results show the ability of the method to extract the IMT contour in ultrasound images.