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Dynamic Contour Detection of Heart Chambers in Ultrasound Images for Cardiac Diagnostics

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Book cover Computer Recognition Systems 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 57))

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Summary

The contour detection of moving left ventricle is very useful in cardiac diagnosis. The subject of this paper is to introduce the contour detection method for moving objects in the unclear biomedical images series. This method is mainly dedicated to be used for heart chamber contours in ultrasound images. In such images the heart chambers are visible much better if they are viewed in their movement. That is why for a good automatic contour detection the analysis of the whole series of images is needed. This method is suitable for the analysis of the heart ultrasound images. The contour detection method has been programmed and tested with the series of ultrasound images, with an example of finding the left ventricle contours. The presented method has been later modified to be even more effective. The last results seems to be quite interesting in some cases.

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Authors and Affiliations

  1. Institute of Biocybernetics and Biomedical Engineering PAS, Poland

    Pawel Hoser

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  1. Pawel Hoser
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Editors and Affiliations

  1. Wroclaw University of Technology, WybrzezeWyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski  & Michal Wozniak  & 

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Hoser, P. (2009). Dynamic Contour Detection of Heart Chambers in Ultrasound Images for Cardiac Diagnostics. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_58

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  • DOI: https://doi.org/10.1007/978-3-540-93905-4_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-93904-7

  • Online ISBN: 978-3-540-93905-4

  • eBook Packages: EngineeringEngineering (R0)

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