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Carpal-bone feature extraction analysis in skeletal age assessment based on deformable model
Keywords:
Carpal-bone radiograph, skeletal age (estimation), Active Contour Model, GVF-SnakeAbstract
Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Features analysis of the carpal bones can reveal the important information for skeletal age assessment. The present work in this paper faces the problem of the detection of carpal-bone features from its radio-image. A novel and effective segmentation technique is presented in this work with carpal bone image for skeletal age estimation. Carpal bone segmentation is a critical operation of the automatic skeletal age assessment system. This method consists of three procedures. First, the original carpal bone image is preprocessed via anisotropic diffusion. Then, the carpal bone image is segmented by GVF-Snake model. Third, experiments are carried out on images of carpal bone. The results are very promising. In particular the method is able to extract overlapping carpal bones.
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References
[1] W.W .Greulich, W.W .Pyle, Radiographic atlas of skeletal development of the hand and wrist. 2nd edn. Stanford University Press, Palo Alto, CA, 1959.
[2] J.M.Tanner, R.H .Whitehouse., W.A .Marshall., Healy. M.J.R, Assessment of skeletal maturity and prediction of adult height (TW2 method). 2nd edn. Academic Press, London, 1983.
[3] E .Pietka,L.Kaabi, M.L.Kuo, and H. K Huang, “Feature extraction in carpal-bone analysis,” IEEE Trans. Med. Imag., vol. 12, 1993, pp. 44–49.
[4] C. C .Ko, C.W.Mao, C.J.Lin., and Y.N.Sun, “Image analysis for skeletal evaluation of carpal bones,” in Proc. SPIE, vol. 2501/2, 1995, pp. 951–961.
[5] D. J. Michael, and A.C.Nelson, “HANDX: A model-based system for automatic segmentation of bones from digital hand radiographs,” IEEE Trans. Med. Imag., vol. 8, no. 1, 1990, pp. 191–193.
[6] N. D. Efford, “Knowledge-based segmentation and feature analysis of hand wrist radiographs,” School of Computer Studies, University of Leeds, Report 94.31, Research Report Series, 1994.
[7] M.Kass, A.Witkin, and D.Terzopoulos, “Snakes: active contour models,” Int’l J.Comp. Vis., vol. 1, no. 4, 1987, pp. 321–331.
[8] C.Xu and J.L.Prince, “Generalized gradient vector flow external forces for active contours,” Signal Processing—An International Journal, vol. 71, no. 2, 1998, pp. 131–139.
[9] C.Xu and J.L.Prince, “Snakes, shapes, and gradient vector flow,” IEEE Trans. Imag. Proc., vol. 7, no. 3, 1998, pp. 359–369.
[10] P.Perona, and J.Malik, “Scale-space and edge detection using anisotropic diffusion”.IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 12,1990, pp.629-639.
[2] J.M.Tanner, R.H .Whitehouse., W.A .Marshall., Healy. M.J.R, Assessment of skeletal maturity and prediction of adult height (TW2 method). 2nd edn. Academic Press, London, 1983.
[3] E .Pietka,L.Kaabi, M.L.Kuo, and H. K Huang, “Feature extraction in carpal-bone analysis,” IEEE Trans. Med. Imag., vol. 12, 1993, pp. 44–49.
[4] C. C .Ko, C.W.Mao, C.J.Lin., and Y.N.Sun, “Image analysis for skeletal evaluation of carpal bones,” in Proc. SPIE, vol. 2501/2, 1995, pp. 951–961.
[5] D. J. Michael, and A.C.Nelson, “HANDX: A model-based system for automatic segmentation of bones from digital hand radiographs,” IEEE Trans. Med. Imag., vol. 8, no. 1, 1990, pp. 191–193.
[6] N. D. Efford, “Knowledge-based segmentation and feature analysis of hand wrist radiographs,” School of Computer Studies, University of Leeds, Report 94.31, Research Report Series, 1994.
[7] M.Kass, A.Witkin, and D.Terzopoulos, “Snakes: active contour models,” Int’l J.Comp. Vis., vol. 1, no. 4, 1987, pp. 321–331.
[8] C.Xu and J.L.Prince, “Generalized gradient vector flow external forces for active contours,” Signal Processing—An International Journal, vol. 71, no. 2, 1998, pp. 131–139.
[9] C.Xu and J.L.Prince, “Snakes, shapes, and gradient vector flow,” IEEE Trans. Imag. Proc., vol. 7, no. 3, 1998, pp. 359–369.
[10] P.Perona, and J.Malik, “Scale-space and edge detection using anisotropic diffusion”.IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 12,1990, pp.629-639.
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Published
2004-10-01
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[1]
“Carpal-bone feature extraction analysis in skeletal age assessment based on deformable model”, JCS&T, vol. 4, no. 03, pp. p. 152–156, Oct. 2004, Accessed: Feb. 07, 2026. [Online]. Available: https://journal.info.unlp.edu.ar/JCST/article/view/894
