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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 83–90Cite as

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  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
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Recognition in Ultrasound Videos: Where Am I?

Recognition in Ultrasound Videos: Where Am I?

  • Roland Kwitt19,
  • Nuno Vasconcelos20,
  • Sharif Razzaque21 &
  • …
  • Stephen Aylward19 
  • Conference paper
  • 4230 Accesses

  • 1 Citations

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

Abstract

A novel approach to the problem of locating and recognizing anatomical structures of interest in ultrasound (US) video is proposed. While addressing this challenge may be beneficial to US examinations in general, it is particularly useful in situations where portable US probes are used by less experienced personnel. The proposed solution is based on the hypothesis that, rather than their appearance in a single image, anatomical structures are most distinctively characterized by the variation of their appearance as the transducer moves. By drawing on recent advances in the non-linear modeling of video appearance and motion, using an extension of dynamic textures, successful location and recognition is demonstrated on two phantoms. We further analyze computational demands and preliminarily explore insensitivity to anatomic variations.

Keywords

  • Video Sequence
  • Search Sequence
  • Dynamic Texture
  • Hepatic Vessel
  • Window Position

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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References

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Author information

Authors and Affiliations

  1. Kitware Inc., Carrboro, NC, USA

    Roland Kwitt & Stephen Aylward

  2. Dept. of Electrical and Computer Engineering, UC San Diego, USA

    Nuno Vasconcelos

  3. Dept. of Computer Science, UNC, Chapel Hill, USA

    Sharif Razzaque

Authors
  1. Roland Kwitt
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  2. Nuno Vasconcelos
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  3. Sharif Razzaque
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  4. Stephen Aylward
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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

Kwitt, R., Vasconcelos, N., Razzaque, S., Aylward, S. (2012). Recognition in Ultrasound Videos: Where Am I?. 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_11

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  • DOI: https://doi.org/10.1007/978-3-642-33454-2_11

  • 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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