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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Segmentation of Fat and Fascias in Canine Ultrasound Images
verfasst von : Oleksiy Rybakov, Daniel Stromer, Irina Mischewski, Andreas Maier
Erschienen in: Bildverarbeitung für die Medizin 2018
Verlag: Springer Berlin Heidelberg
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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%.