A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL

Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron

2010

Abstract

This paper describes a new method for cervical vertebra segmentation in digitized X-ray images. We propose a segmentation approach based on Active Shape Model method whose main advantage is that it uses a statistical model. This model is created by training it with sample images on which the boundaries of the object of interest are annotated by an expert. The specialist knowledge is very useful in this context. This model represents the local statistics around each landmark. Our application allows the manipulation of a vertebra model. The results obtained are very promising.

References

  1. Benjelloun, M. and Mahmoudi, S. (2008). X-ray image segmentation for vertebral mobility analysis. International Journal of Computer Assisted Radiology and Surgery, 2(6):371-383.
  2. Cootes, T. F., Hill, A., Taylor, C. J., and Haslam, J. (1994). Use of active shape models for locating structures in medical images. Image and Vision Computing, 12(6):355-365.
  3. Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J. (1995). Active shape models: Their training and application. Computer Vision and Image Understanding, 61(1):38-59.
  4. Kass, M., Witkin, A., and Terzopoulos, D. (1988). Snakes: Active Contour Models. International Journal of Computer Vision, 1(4):321-331.
  5. Lobregt, S. and Viergever, M. (1995). A discrete dynamic contour model. IEEE Transactions on Medical Imaging, 14(1):12-24.
  6. Long, L. R. and Thoma, G. R. (2000). Use of shape models to search digitized spine x-rays. In Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems, pages 255-260.
  7. Long, L. R. and Thoma, G. R. (2001). Identification and classification of spine vertebrae by automated methods. In Proceedings of SPIE Medical Imaging 2001, volume 4322.
  8. Mahmoudi, S. and Benjelloun, M. (2008). A new approach for cervical vertebrae segmentation. Progress in Pattern Recognition, Image Analysis and Applications, 4756:753-762.
  9. McInerney, T. and Terzopoulos, D. (1996). Deformable models in medical image analysis: a survey. Medical Image Analysis, 1(2):91-108.
  10. Pham, D. L., Xu, C., and Prince, J. L. (2000). Current methods in medical image segmentation. Annual Review of Bimedical Engineering, 2:315-337.
  11. Sethian, J. A. (1999). Level Set Methods and Fast Marching Methods. Cambridge University Press.
  12. Tan, S., Yao, J., Ward, M. M., Yao, L., and Summers, R. M. (2006). Level set based vertebra segmentation for the evaluation of ankylosing spondylitis. Progress in biomedical optics and imaging, 7(1)(30):12-24.
  13. Tezmol, A., Sari-Sarraf, H., Mitra, S., Gururajan, A., and Long, R. (2002). Customized hough transform for robust segmentation of cervical vertebrae from x-ray images. In Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, page 224.
Download


Paper Citation


in Harvard Style

Benjelloun M., Mahmoudi S. and Lecron F. (2010). A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 501-506. DOI: 10.5220/0002765505010506


in Bibtex Style

@conference{special session miad10,
author={Mohammed Benjelloun and Saïd Mahmoudi and Fabian Lecron},
title={A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010)},
year={2010},
pages={501-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002765505010506},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010)
TI - A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL
SN - 978-989-674-018-4
AU - Benjelloun M.
AU - Mahmoudi S.
AU - Lecron F.
PY - 2010
SP - 501
EP - 506
DO - 10.5220/0002765505010506