Ultrasound image segmentation with shape priors: Application to automatic cattle rib-eye area estimation

IEEE Transactions on Image Processing

Volumn 16, Issue 6, 2007, Pages 1637-1645

  Arias, Pablo ^a   Pini, Alejandro ^a   Sanguinetti, Gonzalo ^a   Sprechmann, Pablo ^a   Cancela, Pablo ^a   Fernández, Alicia ^a   Gómez, Alvaro ^a   Randall, Gregory ^a  

^a UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

Author keywords

Rib eye; Shape priors; Ultrasound (US) segmentation

Indexed keywords

DATA ACQUISITION; DATABASE SYSTEMS; ESTIMATION; GEODESY; SPURIOUS SIGNAL NOISE; ULTRASONIC IMAGING;

RIB-EYE; SHAPE PRIORS; ULTRASOUND SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ANATOMY; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CATTLE; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION; FOOD ANALYSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MEAT; METHODOLOGY; REPRODUCIBILITY; RIB; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

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;

EID: 34249106049     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.896604     Document Type: Article

References (25)

1. P. Arias, A. Pini, G. Sanguinetti, and P. Sprechmann, "Segmentación con información a priori de forma aplicada a sistema de valoración cárnica," E.E. thesis, Univ. República, Montevideo, Uruguay, 2005.
2. P. Cancela, F. Reyes, P. Rodríguez, G. Randall, and A. Fernández, "Automatic object detection using shape information in ultrasound images," in Proc. 3rd Int. Conf. Image Process., 2003, pp. 417-420.
3. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in Proc. Int. Conf. Computer Vision, 1995, pp. 694-699.
4. T. Chan and W. Zhu, "Level set based shape prior segmentation," Tech. Rep. 03-66, Comput. Appl. Math., Univ. California, Los Angeles, 2003.
5. G. Charpiat, O. Faugeras, and R. Keriven, "Approximations of shape metrics and application to shape warping and empirical shape statistics," Found. Comput. Math., vol. 5, no. 1, pp. 1-58, 2005.
6. Y. Chen, H. Tagare, S. Thiruvenkadam, F. Huang, D. Wilson, K. Gopinath, R. Briggs, and E. Geiser, "Using prior shapes in geometric active contours in a variational framework," Int. J. Comput. Vis., vol. 50, no. 3, pp. 315-328, 2002.
7. D. Cremers, N. Sochen, and C. Schnorr, "Towards recognition-based variational segmentation using shape priors and dynamic labeling," in Proc. Int. Conf. Scale Space Theory Computer Vision, 2003, vol. 2695, pp. 388-400.
8. I. Dryden and K. Mardia, Statistical Shape Analysis. New York: Wiley, 1998.
9. W. O. Herring, D. C. Miller, J. K. Bertrand, and L. L. Benyshek, "Evaluation of machine, technician, and interpreter effects on ultrasonic measures of backfat and longissimus muscle area in beef cattle," J. Animal Sci., vol. 72, no. 9, pp. 2216-2226, 1994.
10. D. G. Kendall, D. Barden, T. K. Carne, and H. Le, Shape and Shape Theory. New York: Wiley, 1999.
11. E. Klassen, A. Srivastava, W. Mio, and S. Joshi, "Analysis of planar shapes using geodesic paths on shape spaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 3, pp. 372-383, Mar. 2003.
12. M. Leventon, E. Grimson, and O. Faugeras, "Statistical shape influence in geodesic active controus," in Proc. Computer Vision Pattern Recognition Conf., 2000, pp. 316-322.
13. J. S. Marques and A. J. Abrantes, "Shape alignment - Optimal initial point and pose estimation," Pattern Recognit. Lett., vol. 18, no. 1, pp. 49-53, 1997.
14. W. Mio and A. Srivastava, "Elastic-string models for representation and analysis of planar shapes," presented at the Computer Vision Pattern Recognition Conf., 2004.
15. W. Mio, A. Srivastava, and X. Liu, "Learning and bayesian shape extraction for object recognition," in Proc. 4th ECCV, 2004, pp. 62-73.
16. U. S. Dept. Agriculture, 1997, U.S. Standards for Grades of Carcass Beef [Online]. Available: http://www.ams.usda.gov/standards/beef-car.pdf
17. N. Paragios, "A variational approach for the segmentation of the left ventricle," Int. J. Comput. Vis., pp. 345-362, 2002.
18. M. Rousson and N. Paragios, "Shape priors for level set representations," in Proc. 2nd ECCV, 2002, pp. 78-92.
19. A. U. Services, 2005. Ithaca, NY [Online]. Available: http://people. clarityconnect.com/webpages/aus/AUSPRODUCTS.HTM
20. C. G. Small, The Statistical Theory of Shape. New York: Springer, 1996.
21. R. G. Tait, D. E. Wilson, and G. H. Rouse, "Prediction of retail product and trimmable fat yields from the four primal cuts in beef cattle using ultrasound or carcass data," J. Animal Sci., vol. 83, pp. 1353-1360, 2005.
22. M. Technology, 2006 [Online]. Available: http://www.microbeef.com/
23. A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, and A. Willsky, "A shape-based approach to the segmentation of medical imagery using level sets," IEEE Trans. Med. Imag., vol. 22, no. 2, pp. 137-154, Feb. 2003.
24. A. Yezzi and A. Mennucci, 2005, Metrics in the Space of Curves [Online]. Available: http://arxiv.org/abs/math/0412454
25. H. L. Zhang, D. E. Wilson, and G. H. Rouse, "Image analysis and application systems in quality evalutaion and prediction for meat and live meat animals," in Proc. 3rd Int. Conf. Image Processing, 1994, pp. 241-244.