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3D Reconstruction of Histological Rat Brain Images

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Bildverarbeitung für die Medizin 2015

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

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Abstract

Histology of brain sections provides the opportunity to analyse the brain structure on a microscopic level. Histological sections have to be aligned into a 3D reference volume to obtain a correct spatial localization of cell structures. This paper presents a new approach of a rigid registration method of histological sections to a blockface volume. The method and the results are validated by using synthetic data and experimental histological rat brain images. The results indicate a robust, simple and valid image registration method.

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Author information

Authors and Affiliations

  1. Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Deutschland

    Nicole Schubert, Mehmet E. Kirlangic, Martin Schober, Anh-Minh Huynh, Katrin Amunts, Karl Zilles & Markus Axer

  2. C. a. O. Vogt Institute of Brain Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Deutschland

    Katrin Amunts & Markus Axer

  3. Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH University Aachen, Aachen, Deutschland

    Karl Zilles

Authors
  1. Nicole Schubert
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  2. Mehmet E. Kirlangic
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  3. Martin Schober
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  4. Anh-Minh Huynh
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  5. Katrin Amunts
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  6. Karl Zilles
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  7. Markus Axer
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Corresponding author

Correspondence to Nicole Schubert .

Editor information

Editors and Affiliations

  1. Lübeck, Germany

    Heinz Handels

  2. RWTH Aachen Inst. Medizinische Informatik, Aachen, Germany

    Thomas Martin Deserno

  3. Heidelberg, Germany

    Hans-Peter Meinzer

  4. Berlin, Berlin, Germany

    Thomas Tolxdorff

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Schubert, N. et al. (2015). 3D Reconstruction of Histological Rat Brain Images. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_27

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  • DOI: https://doi.org/10.1007/978-3-662-46224-9_27

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46223-2

  • Online ISBN: 978-3-662-46224-9

  • eBook Packages: Computer Science and Engineering (German Language)

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