Features extraction and analysis methods for sequences of ultrasound images

  • Isabelle L. Herlin
  • Nicholas Ayache
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)


Our principal motivation is to study time sequences of echocardiographic raw data to track specific anatomical structures. First, we show that the image processing can make direct use of the audio signal data, avoiding loss of information and yielding optimal results.

Secondly, we develop a strategy which takes a time sequence of raw data as input, computes edges, initiates a segmentation of a pre-selected anatomical structure and uses a deformable model for its temporal tracking. This approach is validated in a real time sequence of ultrasound images of the heart to track the left auricle and the mitral valve.


Mitral Valve Ultrasound Image Edge Detection Polar Data Deformable Model 
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 1992

Authors and Affiliations

  • Isabelle L. Herlin
    • 1
  • Nicholas Ayache
    • 1
  1. 1.INRIALe ChesnayFrance

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