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%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
Pope JA. Medical Physics: Imaging. Heinemann; 1999.
Szabo TL. Diagnostic Ultrasound Imaging: Inside Out. Academic Press Series in Biomedical Engineering. Academic Press; 2013.
Gonzalez RC, Woods RE, Eddins SL. Digital Image Processing using MATLAB. Upper Saddle River, NJ: Prentice Hall; 2002.
Nelson TR, Pretorius DH, Hull A, et al. Sources and impact of artifacts on clinical three-dimensional ultrasound imaging. Ultrasound Obstetr Gyn. 2000;16(4):374–383.
Boussouar A, Meziane F, Crofts G. Plantar fascia segmentation and thickness estimation in ultrasound images. Comp Med Imaging Graph. 2017;56:60–73.
Tomasi C, Manduchi R; IEEE. Bilateral filtering for gray and color images. Proc ICCV. 1998; p. 839–846.
He K, Sun J, Tang X. Guided image filtering. IEEE Trans Pattern Anal Mach Intell. 2013;35(6):1397–1409.
Frangi AF, Niessen WJ, Vincken KL, et al. Multiscale vessel enhancement filtering. In: Proc MICCAI. Springer; 1998. p. 130–137.
Heijmans HJ. Connected morphological operators for binary images. Comp Vis Image Underst. 1999;73(1):99–120.
Goutte C, Gaussier E; Springer. A probabilistic interpretation of precision, recall and F-score, with implication for evaluation. Proc ECIR. 2005;5:345–359.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_69
Published:
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)