Segmentation of Fat and Fascias in Canine Ultrasound Images

Rybakov O, Stromer D, Mischewski I, Maier A (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Publisher: Springer Vieweg

City/Town: Berlin, Heidelberg

Pages Range: 6

Event location: Hörsäle Medizin Kleiner Hörsaal Ulmenweg 18 91054 Erlangen DE

ISBN: 978-3-662-56537-7

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Rybakov18-SOF.pdf

DOI: 10.1007/978-3-662-56537-7_69

Abstract

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 canines. Both algorithms were evaluated on a set of 24 expert-labeled images achieving high accuracy scores up to 95.9 %.

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How to cite

APA:

Rybakov, O., Stromer, D., Mischewski, I., & Maier, A. (2018). Segmentation of Fat and Fascias in Canine Ultrasound Images. In Proceedings of the Bildverarbeitung für die Medizin 2018 (BVM 2018) (pp. 6). Hörsäle Medizin Kleiner Hörsaal Ulmenweg 18 91054 Erlangen, DE: Berlin, Heidelberg: Springer Vieweg.

MLA:

Rybakov, Oleksiy, et al. "Segmentation of Fat and Fascias in Canine Ultrasound Images." Proceedings of the Bildverarbeitung für die Medizin 2018 (BVM 2018), Hörsäle Medizin Kleiner Hörsaal Ulmenweg 18 91054 Erlangen Berlin, Heidelberg: Springer Vieweg, 2018. 6.

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