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Bildverarbeitung für die Medizin 2005 pp 40–44Cite as

De-noising MRI Data — An Iterative Method for Filter Parameter Optimization

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

Abstract

In this paper an automatic parameter optimization method for anisotropic diffusion filters used to de-noise MR images is presented. This method is based on the incorporation of the filtering process into a closed-loop system where the monitoring of the image improvement is realized indirectly. The optimization is driven by comparing the characteristics of the suppressed noise to those from the assumed noise model at the optimum point. In order to verify the methods performance, experimental results obtained with this method are presented together with the results obtained by Median and k-Nearest Neighbor filters.

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References

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Author information

Authors and Affiliations

  1. Central Institute for Electronics, Research Center Jülich, 52425, Jülich

    Joaquin Castellanos & Gudrun Wagenknecht

  2. Div. Intelligent Bioinformatics Systems, University of Heidelberg and DKFZ Heidelberg, 69120, Heidelberg

    Karl Rohr

  3. Institute of Medical Informatics, Biostatistics and Epidemiology, Charité - University Medicine Berlin, 12200, Berlin

    Thomas Tolxdorff

Authors
  1. Joaquin Castellanos
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  2. Karl Rohr
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  3. Thomas Tolxdorff
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  4. Gudrun Wagenknecht
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Editor information

Editors and Affiliations

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

    Hans-Peter Meinzer

  2. Universitätsklinikum Hamburg-Eppendorf, Universität Hamburg, Martinistraße 52, 20246, Hamburg

    Heinz Handels

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

    Alexander Horsch

  4. Institut für Medizinische Informatik, Biometrie und Epidemiologie, Charité — Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Castellanos, J., Rohr, K., Tolxdorff, T., Wagenknecht, G. (2005). De-noising MRI Data — An Iterative Method for Filter Parameter Optimization. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_9

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