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Introducing Spectral Estimation for Boundary Detection in Echographic Radiofrequency Images

  • Igor Dydenko
  • Denis Friboulet
  • Isabelle E. Magnin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2230)

Abstract

In echocardiography, the radio-frequency (RF) image is a rich source of information about the investigated tissues. Nevertheless, very few works are dedicated to boundary detection based on the RF image, as opposed to envelope image. In this paper, we investigate the feasibility and limitations of boundary detection in echocardiographic images based on the spectral contents of the RF signal. Using the system approach, we study on models and simulations how the spectral contents can be used for boundary detection. We then introduce an original method of spectral estimation for boundary detection, and several images are analyzed with its mean. It is shown that, under the condition of high acquisition frequency, it is possible to use the spectral contents for boundary detection, and that improvement can be expected with respect to traditional methods. The conclusions may enable development of a robust boundary detection method, based both on the envelope and the spectral contents of the RF signal.

Keywords

Spectral Parameter Spectral Estimation Power Spectrum Density Boundary Detection Spectral Content 
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 2001

Authors and Affiliations

  • Igor Dydenko
    • 1
  • Denis Friboulet
    • 1
  • Isabelle E. Magnin
    • 1
  1. 1.CREATISINSA - Blaise PascalVilleurbanne Cedex

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