Advertisement

Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge

  • Aaron D. Ward
  • Ghassan Hamarneh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4791)

Abstract

We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of the shapes in the study, and a machine learning approach is used to elucidate the characteristic shape and appearance features at each landmark. A classifier trained using these features defines a cost function that drives key landmarks to anatomically meaningful locations after MDL-based correspondence establishment. Results are shown for artificial examples as well as real data.

References

  1. 1.
    Davies, R., et al.: A minimum description length approach to statistical shape modeling. IEEE TMI 21(5), 525–537 (2002)Google Scholar
  2. 2.
    Styner, M., et al.: Evaluation of 3D correspondence methods for model building. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 63–75. Springer, Heidelberg (2003)Google Scholar
  3. 3.
    Thodberg, H., et al.: Adding curvature to minimum description length shape models. BMVC 2, 251–260 (2003)Google Scholar
  4. 4.
    Heimann, T., et al.: Implementing the automatic generation of 3D statistical shape models with ITK. In: Open Science Workshop at MICCAI, Copenhagen (2006)Google Scholar
  5. 5.
    Guyon, et al.: An introduction to variable and feature selection. Journal of Machine Learning Research 3, 1157–1182 (2003)zbMATHCrossRefGoogle Scholar
  6. 6.
    Manay, S., et al.: Integral invariants for shape matching. IEEE PAMI 28(10), 1602–1618 (2006)Google Scholar
  7. 7.
    Pitiot, A., et al.: Learning shape correspondence for n-D curves. IJCV 71(1), 71–88 (2007)CrossRefGoogle Scholar
  8. 8.
    Kadir, T., et al.: Scale, saliency and image description. IJCV 45(2), 83–105 (2001)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Aaron D. Ward
    • 1
  • Ghassan Hamarneh
    • 1
  1. 1.Medical Image Analysis Lab, School of Computing Science, Simon Fraser UniversityCanada

Personalised recommendations