Title :
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation
Author :
Arias, Pablo ; Pini, Alejandro ; Sanguinetti, Gonzalo ; Sprechmann, Pablo ; Cancela, Pablo ; Fernández, Alicia ; Gómez, Alvaro ; Randall, Gregory
Author_Institution :
Instituto de Ingenieria Electrica, Univ. de la Republica, Montevideo
fDate :
6/1/2007 12:00:00 AM
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
Keywords :
food processing industry; image segmentation; production engineering computing; ultrasonic imaging; automatic cattle rib-eye area estimation; automatic ultrasound image segmentation; geodesic distance; image information; image noise; rib-eye shape; Animals; Cows; Image databases; Image segmentation; Muscles; Noise cancellation; Noise shaping; Shape; Testing; Ultrasonic imaging; Rib-eye; shape priors; ultrasound (US) segmentation; Algorithms; Anatomy, Cross-Sectional; Animals; Artificial Intelligence; Cattle; Food Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Meat; Muscle, Skeletal; Pattern Recognition, Automated; Reproducibility of Results; Ribs; Sensitivity and Specificity; Subtraction Technique; Ultrasonography;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2007.896604
