Abstract
Segmentation of femurs in Anterior-Posterior x-ray images is very important for fracture detection, computer-aided surgery and surgical planning. Existing methods do not perform well in segmenting bones in x-ray images due to the presence of large amount of spurious edges. This paper presents an atlas-based approach for automatic segmentation of femurs in x-ray images. A robust global alignment method based on consistent sets of edge segments registers the whole atlas to the image under joint constraints. After global alignment, the femur models undergo local refinement to extract detailed contours of the femurs. Test results show that the proposed algorithm is robust and accurate in segmenting the femur contours of different patients.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Manos, G.K., Cairns, A.Y., Rickets, I.W., Sinclair, D.: Segmenting radiographs of the hand and wrist. Computer Methods and Programs in Biomedicine 43(3-4), 227–237 (1993)
Chen, H., Jain, A.K.: Tooth contour extraction for matching dental radiographs. In: Proc. Int. Conf. on Pattern Recognition, pp. 522–525 (2004)
El-Feghi, I., Huang, S.S.A., M.A., Ahmadi, M.: X-ray image segmentation using auto adaptive fuzzy index measure. In: Proc. Midwest Symposium on Circuits and Systems, vol. 3, pp. 499–502 (2004)
Yap, D.W.H., Chen, Y., Leow, W.K., En Howe, T.: Detecting femur fractures by texture analysis of trabeculae. In: Proc. Int. Conf. on Pattern Recognition, vol. 3, pp. 730–733 (2004)
Chen, Y., Ee, X., Leow, W.K., Howe, T.S.: Automatic extraction of femur contours from hip x-ray images. In: Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, pp. 200–209 (2005)
Dammann, F., Bode, A., Schwaderer, E., Schaich, M., Heuschmid, M., Maassen, M.M.: Computer-aided surgical planning for implantation of hearing aids based on ct data in a vr environment. Radiographics 21, 183–190 (2001)
Boukala, N., Favier, E., Laget, B., Radeva, P.: Active shape model based segmentation of bone structures in hip radiographs. In: Proc. of IEEE Int. Conf. on Industrial Technology, pp. 1682–1687 (2004)
Duay, V., Houhou, N., Thiran, J.P.: Atlas-based segmentation of medical images locally constrained by level sets. Technical report, Signal Processing Institute (ITS), Ecole Polytechnique Fédérale de Lausanne (EPFL) (2005)
Cootes, T.F., Taylor, C.J.: Statistical models of appearance for computer vision. Technical report, Imaging Science and Biomedical Engineering, Manchester M13 9PT, UK (2004)
Pham, D.L., Xu, C., Prince, J.L.: A survey of current methods in medical image segmentation. Technical report, Department of Electrical and Computer Engineering, The Johns Hopkins University (1998)
Ding, F., Leow, W.K., Wang, S.C.: Segmentation of 3D CT volume images using a single 2D atlas. In: Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, pp. 459–468 (2005)
Vinhais, C., Campilho, A.: Genetic model-based segmentation of chest x-ray images using free form deformations. In: Proc. Int. Conf. Image Analysis and Recognition (2005)
Belongie, S., Malik, J., Puzicha, J.: Shape context: A new descriptor for shape matching and object recognition. In: NIPS, pp. 831–837 (2000)
Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. McGraw-Hill, New York (1995)
Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. ACM 24(6), 381–395 (1981)
Cheng, J., Foo, S.W.: Dynamic directional gradient vector flow for snakes. IEEE Trans.on Image Processing 15(6), 1563–1571 (2006)
Leventon, M.E., Grimson, W.E.L., Faugeras, O.: Statistical shape influence in geodesic active contours. In: Proc. CVPR. vol. 1, pp. 316–323 (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ding, F., Leow, W.K., Howe, T.S. (2007). Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis X-Ray Images. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-74272-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
Online ISBN: 978-3-540-74272-2
eBook Packages: Computer ScienceComputer Science (R0)