Ultrasound image segmentation with shape priors : Application to automatic cattle rib-eye area estimation.
Pablo Arias, Alejandro Pini, Gonzalo Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall
IEEE Transactions on Image Processing, Volume 16, Number 6, page 1637--1645 - Jun. 2007
Research Group(s): Tratamiento de Imagenes (gti)
Department(s): Procesamiento de Señales
Download the publication : APSSCFGR07.pdf [1.1Mo]  

Abstract

Automatic ultrasound (US) image segmentation is a difficult task due to the quantity of noise present in the images and the lack of information in several zones produced by the acquisition conditions. In this paper, we propose a method that combines shape priors and image information to achieve this task. In particular, we introduce knowledge about the rib-eye shape using a set of images manually segmented by experts. A method is proposed for the automatic segmentation of new samples in which a closed curve is fitted taking into account both the US image information and the geodesic distance between the evolving curve and the estimated mean rib-eye shape in a shape space. This method can be used to solve similar problems that arise when dealing with US images in other fields. The method was successfully tested over a database composed of 610 US images, for which we have the manual segmentations of two experts.

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» Pablo Arias
» Alejandro Pini
» Gonzalo Sanguinetti
» Pablo Sprechmann
» Pablo Cancela
» Alicia Fernández
» Alvaro Gómez
» Gregory Randall