Abstract
In the field of the clinical traumatology, bone reparation is one of the essential factors which are followed. Bone fractures are clinically evaluated on the base of the X-ray images providing relatively high contrast between bone and affected spot, on the other hand one important identifier of bone reparation (periosteal callus) is often badly observable from native data. Furthermore, periosteal callus is only clinically evaluated by naked eye without SW feedback providing supervised quantification. From the aforementioned reasons we established cooperation with Department of Traumatology on the automatic segmentation and modelling of a periosteal callus leading to tracking of bone reparation. We developed system serving for automatic extraction of a periosteal callus, consequently allowing for compute of callus area for time comparison in the form of the predictive model.
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Acknowledgments
This article has been supported by financial support of TA ČR, PRE SEED Fund of VSB-Technical univerzity of Ostrava/TG01010137. The work and the contributions were supported by the project SV4506631/2101 ‘Biomedicínské inženýrské systémy XII’.
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Kubicek, J., Penhaker, M., Bryjova, I., Augustynek, M., Zapletal, T., Kasik, V. (2017). Tracking of Bone Reparation Process with Using of Periosteal Callus Extraction Based on Fuzzy C-means Algorithm. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_24
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DOI: https://doi.org/10.1007/978-3-319-56660-3_24
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