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Segmentation of Fat and Fascias in Canine Ultrasound Images

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Bildverarbeitung für die Medizin 2018

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

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Zusammenfassung

The connective tissue between fat and muscle termed fascia has been of interest to the recent clinical and biological research. However, in the canine and human medicine, the anatomic knowledge is still limited. To analyze the superficial fascia in canine medicine, a database with around 200 ultrasound images of one dog has been created. The superficial fascia contains fat compartments and is closely connected to the surrounding structures such as the skin’s dermis and the epimysium of the muscles. This work proposes a semi-automatic and fully-automatic segmentation algorithm separating the different layers of ultrasound images of canine. Both algorithms were evaluated on a set of 24 expert-labeled images achieving high accuracy scores up to 95.9%.

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Author information

Authors and Affiliations

  1. Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland

    Oleksiy Rybakov, Daniel Stromer & Andreas Maier

  2. Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-University Jena, Jena, Deutschland

    Irina Mischewski

Authors
  1. Oleksiy Rybakov
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  2. Daniel Stromer
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  3. Irina Mischewski
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  4. Andreas Maier
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Corresponding author

Correspondence to Oleksiy Rybakov .

Editor information

Editors and Affiliations

  1. Pattern Recognition Lab, Friedrich-Alexander-Universität, Erlangen, Bayern, Germany

    Andreas Maier

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Regensburg Medical Image Computing, Ostbayer. TH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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Rybakov, O., Stromer, D., Mischewski, I., Maier, A. (2018). Segmentation of Fat and Fascias in Canine Ultrasound Images. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_69

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  • DOI: https://doi.org/10.1007/978-3-662-56537-7_69

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56536-0

  • Online ISBN: 978-3-662-56537-7

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

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