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Bildverarbeitung für die Medizin 2012 pp 428–433Cite as

Image Processing for Detection of Fuzzy Structures in Medical Images

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

Abstract

The study of fuzzy structures in medical images is important for operation and radiotherapy planning. To study this, the fuzzy objects will be additionally described by their stochastic properties using the martingale theory in combination with fuzzy measures and fuzzy functions. The detected signal contains implicit stochastic information which is separated to get precise data about the region of interest. The applied methods and algorithms are used for the detection of tumors and nerve branches in MR, CT and PET images.

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References

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Author information

Authors and Affiliations

  1. Optische Informationssysteme, DLR, Berlin, Deutschland

    Hartwig Hetzheim

  2. Medizinische Physik in der Radiologie, DKFZ, Heidelberg, Deutschland

    Henrik G. Hetzheim

Authors
  1. Hartwig Hetzheim
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  2. Henrik G. Hetzheim
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Corresponding author

Correspondence to Hartwig Hetzheim .

Editor information

Editors and Affiliations

  1. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

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© 2012 Springer-Verlag Berlin Heidelberg

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Hetzheim, H., Hetzheim, H.G. (2012). Image Processing for Detection of Fuzzy Structures in Medical Images. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_74

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