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Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach

  • Conference paper
Bildverarbeitung für die Medizin 2009

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

Abstract

Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and straight objects in noisy 3D image data. It uses a Hough-based segmentation approach, which has been exemplary adapted for the application on prostate biopsy data. An evaluation was performed on in-vivo 3D US data and shows promising results. Angular segmentation accuracy was evaluated with a mean of 2.1 degrees, which is comparable to human observers.

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References

  1. Okazawa SH, Ebrahimi R, Chuang J, et al. Methods for segmenting curved needles in ultrasound images. Med Image Anal. 2006.

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Author information

Authors and Affiliations

  1. Division of Medical and Biological Informatics, DKFZ, Heidelberg

    Philipp Hartmann, Matthias Baumhauer & Hans-Peter Meinzer

  2. Department of Urology, Clinic Heilbronn, University of Heidelberg, Heilbronn

    Jens Rassweiler

Authors
  1. Philipp Hartmann
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  2. Matthias Baumhauer
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  3. Jens Rassweiler
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  4. Hans-Peter Meinzer
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Editor information

Editors and Affiliations

  1. Abteilung für Medizinische und Biologische Informatik, Deutsches Krebsforschungszentrum, H0100 Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  2. Institut für Medizinische Informatik, Rheinisch-Westfälische Technische Hochschule Aachen Universitätsklinikum Aachen, Pauwelsstraße 30, 52074, Aachen

    Thomas Martin Deserno

  3. Institut für Medizinische Informatik, Universität Hamburg Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg

    Heinz Handels

  4. Institut für Medizinische Informatik, Charité — Universitätsmedizin Berlin, Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff

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© 2009 Springer-Verlag Berlin Heidelberg

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Hartmann, P., Baumhauer, M., Rassweiler, J., Meinzer, HP. (2009). Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach. In: Meinzer, HP., Deserno, T.M., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93860-6_69

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