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Robust and Fast Estimation of Signal-Dependent Noise in Medical X-Ray Image Sequences

  • Conference paper
Bildverarbeitung für die Medizin 2006

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

Abstract

We present a practice-oriented, i.e. fast and robust, estimator for strong signal-dependent noise in medical low-dose X-ray images. Structure estimation by median filtering has shown to be superior to linear binomial filtering. Falsifications due to remaining structure in the estimated noise image are significantly reduced by iterative outlier removal.

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References

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Author information

Authors and Affiliations

  1. Vision Systems, TU Hamburg-Harburg, 21079, Hamburg

    Marc Hensel & Rolf-Rainer Grigat

  2. General X-Ray, Philips Medical Systems, 22335, Hamburg

    Bernd Lundt & Thomas Pralow

Authors
  1. Marc Hensel
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  2. Bernd Lundt
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  3. Thomas Pralow
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  4. Rolf-Rainer Grigat
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Editor information

Editors and Affiliations

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

    Heinz Handels  & Jan Ehrhardt  & 

  2. Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Klinikum rechts der Isar, Ismaninger Straße 22, 81675, München

    Alexander Horsch

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

    Hans-Peter Meinzer

  4. Institut für Medizinische Informatik, Biometrie und Epidemiologie Campus Benjamin Franklin, Charité — Universitätsmedizin Berlin, Hindenburgdamm 30, 12000, Berlin

    Thomas Tolxdorff

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© 2006 Springer-Verlag Berlin Heidelberg

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Hensel, M., Lundt, B., Pralow, T., Grigat, RR. (2006). Robust and Fast Estimation of Signal-Dependent Noise in Medical X-Ray Image Sequences. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_10

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