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2D+T acoustic boundary detection in echocardiography

  • Miguel Mulet-Parada
  • J. Alison Noble
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

In this paper we address the problem of spatio-temporal acoustic boundary detection in echocardiography. We propose a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D+T reconstruction algorithms. We develop a 2D+T version of this algorithm and illustrate its performance on some typical echocar-diogram sequences. We show how our temporal-based algorithm helps to reduce the number of spurious feature responses due to speckle and provides feature velocity estimates. Further, our approach is intensity-amplitude invariant. This makes it particularly attractive for echocardiographic segmentation, where choosing a single global intensity-based edge threshold is problematic.

Keywords

Doppler Tissue Image Feature Detection Intensity Derivative Feature Asymmetry Filter Orientation 
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 1998

Authors and Affiliations

  • Miguel Mulet-Parada
    • 1
  • J. Alison Noble
    • 1
  1. 1.Department of Engineering ScienceUniversity of OxfordOxfordUK

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