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Mustererkennung 1992 pp 65–72Cite as

Automatic Contour Search on Left Ventricle Ultrasonic Images

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Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

An approach to the left ventricle contour detection in ultrasonic imaging is presented. The method exploits digital image processing and pattern recognition methods in a two-step combination. The first one uses a least-cost path search based on the dynamic programming in order to find the raw ventricle contour derived from the image domain. The second step utilises an apriori knowledge of contour possible shapes to detect and correct significant errors caused by signal dropouts, noise and the errors of the previous processing. A great attention is payed not to force the apriori knowledge into the detected contour. The whole method is ready for processing of image sequences and should serve for volumetric measurements on the left ventricle during heart action.

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References

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Author information

Authors and Affiliations

  1. Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Karlovo nám. 13, 121 35, Prague 2, Czechoslovakia

    Libor Přeučil

Authors
  1. Libor Přeučil
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Editor information

Editors and Affiliations

  1. Institut für Datenbanken und Künstliche Intelligenz, Technische Universität Dresden, Mommsenstraße 13, O-8027, Dresden, Deutschland

    S. Fuchs

  2. Institut für Technische Akustik, Technische Universität Dresden, Mommsenstraße 13, O-8027, Dresden, Deutschland

    R. Hoffmann

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© 1992 Springer-Verlag Berlin Heidelberg

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Přeučil, L. (1992). Automatic Contour Search on Left Ventricle Ultrasonic Images. In: Fuchs, S., Hoffmann, R. (eds) Mustererkennung 1992. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77785-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-77785-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55936-8

  • Online ISBN: 978-3-642-77785-1

  • eBook Packages: Springer Book Archive

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