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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 26–33Cite as

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  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
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Geodesic Shape-Based Averaging

Geodesic Shape-Based Averaging

  • M. Jorge Cardoso19,
  • Gavin Winston20,
  • Marc Modat19,
  • Shiva Keihaninejad21,
  • John Duncan20 &
  • …
  • Sebastien Ourselin19,21 
  • Conference paper
  • 4254 Accesses

  • 2 Citations

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

Abstract

A new method for the geometrical averaging of labels or landmarks is presented. This method expands the shape-based averaging [1] framework from an Euclidean to a geodesic based distance, incorporating a spatially varying similarity term as time cost. This framework has unique geometrical properties, making it ideal for propagating very small structures following rigorous labelling protocols. The method is used to automate the seeding and way-pointing of optic radiation tractography in DTI imaging. The propagated seeds and waypoints follow a strict clinical protocol by being geometrically constrained to one single slice and by guaranteeing spatial contiguity. The proposed method not only reduces the fragmentation of the propagated areas but also significantly increases the seed positioning accuracy and subsequent tractography results when compared to state-of-the-art label fusion techniques.

Keywords

  • Fractional Anisotropy
  • Majority Vote
  • Geodesic Distance
  • Fractional Anisotropy Image
  • Candidate Label

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.

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Author information

Authors and Affiliations

  1. Centre for Medical Image Computing (CMIC), UCL, UK

    M. Jorge Cardoso, Marc Modat & Sebastien Ourselin

  2. Epilepsy Society MRI Unit, Dep. of Clinical and Experimental Epilepsy, UCL, UK

    Gavin Winston & John Duncan

  3. Dementia Research Centre (DRC), UCL, UK

    Shiva Keihaninejad & Sebastien Ourselin

Authors
  1. M. Jorge Cardoso
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  2. Gavin Winston
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  3. Marc Modat
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  4. Shiva Keihaninejad
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  5. John Duncan
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  6. Sebastien Ourselin
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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

Cardoso, M.J., Winston, G., Modat, M., Keihaninejad, S., Duncan, J., Ourselin, S. (2012). Geodesic Shape-Based Averaging. 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_4

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  • DOI: https://doi.org/10.1007/978-3-642-33454-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33453-5

  • Online ISBN: 978-3-642-33454-2

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