Articulated Model Registration of MRI/X-Ray Spine Data

  • Rola Harmouche
  • Farida Cheriet
  • Hubert Labelle
  • Jean Dansereau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6112)


This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete geometrical model of the torso of a scoliotic patient, this work presents a method for the registration of vertebral column data using 3D magnetic resonance images (MRI) acquired in prone position and X-ray data acquired in standing position for five patients with scoliosis. The 3D shape of the vertebrae is estimated from both image modalities for each patient, and an articulated model is used in order to calculate intervertebral transformations required in order to align the vertebrae between both postures. Euclidean distances between anatomical landmarks are calculated in order to assess multimodal registration error. Results show a decrease in the Euclidean distance using the proposed method compared to rigid registration and more physically realistic vertebrae deformations compared to thin-plate-spline (TPS) registration thus improving alignment.


Adolescent Idiopathic Scoliosis Magnetic Resonance Image Image Magnetic Resonance Image Data Registration Error Rigid Registration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cottalorda, Kohler, R.: Recueil terminologique de la scoliose idiopathique. In: Sauramps Medical (ed.) La scoliose idiopathique (sous la direction de J. Bérard et R. Kohler), pp. 33–40 (1997)Google Scholar
  2. 2.
    Asher, M., Beringer, G., Orrick, J., Halverhout, N.: The current status of scoliosis screening in north america, 1986: Results of a survey by mailed questionnaire. Spine 14, 652–662 (1989)CrossRefGoogle Scholar
  3. 3.
    Roach, J.: Adolescent idiopathic scoliosis. Orthop. Clin. North Am. 30, 353–365 (1999)CrossRefGoogle Scholar
  4. 4.
    van de Kraats, E.B., van Walsum, T., Verlaan, J.J., Oner, F.C., Viergever, M.A., Niessen, W.J.: Noninvasive magnetic resonance to three-dimensional rotational x-ray registration of vertebral bodies for image-guided spine surgery. Spine 29(3), 293–297 (2004)CrossRefGoogle Scholar
  5. 5.
    Tomazevic, D., Likar, B., Pernus, F.: 3-D/2-D registration by integrating 2-D information in 3-D. IEEE Transactions on Medical Imaging 25(1), 17–27 (2006)CrossRefGoogle Scholar
  6. 6.
    Cheriet, F., Dansereau, J., Petit, Y., Labelle, H., de Guise, J.A.: Towards the self-calibration of a multi-view radiographic imaging system for the 3D reconstruction of the human spine and rib cage. International Journal of Pattern Recognition and Artificial Intelligence 13(5), 761–779 (1999)CrossRefGoogle Scholar
  7. 7.
    Little, J.A., Hill, D.L.G., Hawkes, D.J.: Deformations incorporating rigid structures. In: Proceedings of the Workshop on Mathematical Methods in Bio- medical Image Analysis, San Francisco, CA, pp. 104–113. IEEE Comput. Soc. Press, Los Alamitos (1996)CrossRefGoogle Scholar
  8. 8.
    Boisvert, J., Pennec, X., Labelle, H., Cheriet, F., Ayache, N.: Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models. In: Perales, F.J., Fisher, R.B. (eds.) AMDO 2006. LNCS, vol. 4069, pp. 346–355. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  9. 9.
    Kadoury, S., Paragios, N.: Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 92–99. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  10. 10.
    Golub, G.H., Van Loan, C.F.: Matrix Computations, 3rd edn. Johns Hopkins, Baltimore (1996)zbMATHGoogle Scholar
  11. 11.
    Delorme, S., Labelle, H., Poitras, B., Rivard, C.-H., Coillard, C., Dansereau, J.: Pre-, Intra-, and Postoperative Three-Dimensional Evaluation of Adolescent Idiopathic Scoliosis. Journal of spinal disorders 13(2), 93–101 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rola Harmouche
    • 1
  • Farida Cheriet
    • 1
  • Hubert Labelle
    • 2
  • Jean Dansereau
    • 1
  1. 1.École Polytechnique de MontréalMontréal
  2. 2.Hôpital Ste-JustineMontréal

Personalised recommendations