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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 99–106Cite as

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Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes

Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes

  • Karim Lekadir19,
  • Alejandro F. Frangi19 &
  • Guang-Zhong Yang20 
  • Conference paper
  • 4159 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7512)

Abstract

This paper presents a new approach for the robust alignment and interpretation of 3D anatomical structures with large and localized shape differences. In such situations, existing techniques based on the well-known Procrustes analysis can be significantly affected due to the introduced non-Gaussian distribution of the residuals. In the proposed technique, influential points that induce large dissimilarities are identified and displaced with the aim to obtain an intermediate template with an improved distribution of the residuals. The key element of the algorithm is the use of pose invariant shape variables to robustly guide both the influential point detection and displacement steps. The intermediate template is then used as the basis for the estimation of the final pose parameters between the source and destination shapes, enabling to effectively highlight the regional differences of interest. The validation using synthetic and real datasets of different morphologies demonstrates robustness up-to 50% regional differences and potential for shape classification.

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Author information

Authors and Affiliations

  1. Center for Computational Imaging & Simulation Technologies in Biomedicine, Universitat Pompeu Fabra and CIBER-BBN, Barcelona, Spain

    Karim Lekadir & Alejandro F. Frangi

  2. Hamlyn Centre for Robotic Surgery, Imperial College London, United Kingdom

    Guang-Zhong Yang

Authors
  1. Karim Lekadir
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  2. Alejandro F. Frangi
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  3. Guang-Zhong Yang
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lekadir, K., Frangi, A.F., Yang, GZ. (2012). Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33454-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-33454-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33453-5

  • Online ISBN: 978-3-642-33454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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