Abstract
The aim of this work is to develop a method of detecting and tracking the needle tip using only two-dimensional ultrasound images. A novel method based on Hough transform, Shock filter and Gabor filter is proposed. The algorithm employs a US image to extract the needle tip. First derivative analysis is used for verification and correction the tip coordinates. The proposed method including the needle tip detection correction has an efficiency of 80%. The method may support radiologist during a core needle biopsy.
Keywords
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Acknowledgements
This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support for young researchers BKM-510/RAu-3/2017. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the abstract.
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Wijata, A., Ranosz, Ż., Galińska, M., Juszczyk, J., Czajkowska, J. (2018). Detection and Tracking of the Biopsy Needle Using Ultrasound Images. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_4
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DOI: https://doi.org/10.1007/978-3-319-70063-2_4
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