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Impact of Segmentation in Quantitative Computed Tomography

A Simulation Study

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Bildverarbeitung für die Medizin 2013

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

Zusammenfassung

Due to limited spatial resolution of CT scanners, cortices with submillimeter thickness are substantially blurred, which leads to problems when estimating their extent and intensity. In the present work, we used three different algorithms to determine cortical thickness, cortical bone mineral density and cortical bone mineral content and investigated their ability to detect a change of these three parameters.

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Literatur

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Author information

Authors and Affiliations

  1. Institute of Medical Physics (IMP), University of Erlangen-Nuremberg, Nuremberg, Deutschland

    Bastian Gerner, Dominique Töpfer, Oleg Museyko & Klaus Engelke

Authors
  1. Bastian Gerner
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  2. Dominique Töpfer
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  3. Oleg Museyko
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  4. Klaus Engelke
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Corresponding author

Correspondence to Bastian Gerner .

Editor information

Editors and Affiliations

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

    Hans-Peter Meinzer

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

    Thomas Tolxdorff

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© 2013 Springer-Verlag Berlin Heidelberg

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Gerner, B., Töpfer, D., Museyko, O., Engelke, K. (2013). Impact of Segmentation in Quantitative Computed Tomography. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_29

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