Abstract
Extraction of craniofacial anatomical structures on cephalometric radiographs is important for observing and predicting the growth changes and evaluating the curative effect in orthodontic analysis. Due to the natural of cephalograms, it is difficult for simplex image processing approaches to exactly track both the soft tissue contours and the structure outlines of internal skull. In this paper, we address this problem by recognizing 262 landmark points and then connecting them according to the prior knowledge. Image processing, pattern matching, and modified active shape model are combined to realize the landmark recognition; subdivision curves are used to obtain the structure rendering.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Romaniuk, B., Desvignes, M., Revenu, M., et al.: Contour tracking by minimal cost path approach. In: IEEE Int’l Conf. Image Processing (2004)
Rakosi, T.: An Atlas and Manual of Cephalometric Radiology. Wolfe Medical Publications, London (1982)
Levy-Mandel, A., Venetsanopoulos, A., Tsotsos, J.: Knowledge-based landmarking of cephalograms. Comput. Bio. Med. Res. 19, 282–309 (1986)
Tong, W., Nugent, S.T., Gregson, P.G., et al.: Landmarking of cephalogams using a microcomputer system. Comput. Bio. Med. Res. 23, 358–397 (1990)
Ren, J.C., Liu, D., Shao, J.L.: A knowledge-based automatic cephalometric analysis method. In: 20th Annu. Int’l Conf. the IEEE Eng. Med. Bio. Soc., pp. 723–727 (1998)
Romaniuk, B., Desvignes, M., Revenu, M., et al.: Linear and non-linear model for statistical localization of landmarks. In: 16th Int’l Conf. Pattern Recogn., pp. 393–396 (2002)
Romaniuk, B., Desvignes, M., Revenu, M., et al.: Shape variability and spatial relationships modeling in statistical pattern recognition. Pattern Recgon. Lett. 25, 239–247 (2004)
Cardillo, J., Sid-Ahmed, M.A.: An image processing system for locating craniofacial landmarks. IEEE T. Med. Imaging 13, 275–289 (1994)
El-Feghi, I., Sid-Ahmed, M.A., Ahmadi, M.: Automatic localization of craniofacial landmarks for assisted cephalometry. Pattern Recogn. 37, 609–621 (2004)
Hutton, T.J., Cunningham, S., Hamrnond, P.: An evaluation of active shape models for the automatic identification of cephalometric landmarks. Eur. J. Orthodont. 22, 499–508 (2000)
Cootes, T.F., Taylor, C.J., Cooper, D.H., et al.: Active shape models their training and application. Comput. Vis. Image Und. 61, 38–59 (1995)
Geng, J.: Study on active shape model and its application in cephalometric landmarks recognition. M.S. Thesis. Peking University, Beijing, China (2002)
Goodal, C.: Procrustes methods in the statistical analysis of shape. J. Roy. Stat. Soc. B. 53, 285–339 (1991)
Liu, J.K., Chen, Y.T., Cheng, K.S.: Accuracy of computerized automatic identification of cephalometric landmarks. Am. J. Orthod. Dentofac. 118, 535–540 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yue, W., Yin, D., Wang, G., Xu, T., Li, C. (2005). Computerized Extraction of Craniofacial Anatomical Structures for Orthodontic Analysis. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_45
Download citation
DOI: https://doi.org/10.1007/11556121_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)