Recognition in Ultrasound Videos: Where Am I?

  • Roland Kwitt
  • Nuno Vasconcelos
  • Sharif Razzaque
  • Stephen Aylward
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7512)


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.


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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Roland Kwitt
    • 1
  • Nuno Vasconcelos
    • 2
  • Sharif Razzaque
    • 3
  • Stephen Aylward
    • 1
  1. 1.Kitware Inc.CarrboroUSA
  2. 2.Dept. of Electrical and Computer EngineeringUC San DiegoUSA
  3. 3.Dept. of Computer ScienceUNCChapel HillUSA

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