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Detection and Tracking of the Biopsy Needle Using Ultrasound Images

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Innovations in Biomedical Engineering (IBE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 623 ))

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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.

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References

  1. Ślubowski, T., Ślubowska, M., Wojciechowski, A.: Techniki Diagnostyczne w Raku Piersi. Cześć II: Metody fizyczne i biopsyjne. Ginekologia Polska, 479–483 (2007)

    Google Scholar 

  2. Skokowski, J.: Encyklopedia Badań Medycznych. Badanie Histopatologiczne. Wydawnictwo Medyczne MAKmed, Gdańsk (1996)

    Google Scholar 

  3. Szopiński, K., Szopińska, M.: Current Opinion on Imaging and Biopsy of Breast Masses. Acta Clinica 2(3), 273–294 (2002)

    Google Scholar 

  4. Rocha, R., Pinto, R., Tavares, D., Goncalves, C.: Step-by-Step of Ultrasound-Guided Core-Needle Biopsy of the Breast: Review and Technique. Radiologia Brasileira 46, 234–241 (2013)

    Google Scholar 

  5. Treepong, B., Tanaiutchawoot, N., Wiratkapun, C., Suthakorn, J.: On the Design and Development of a Breast Biopsy Navigation System: Path Generation Algorithm and System with Its GUI Evaluation, Biomedical and Health Informatics, 273–276 (2014)

    Google Scholar 

  6. Hong, J., Dohi, T., Hashizume, M., Konishi, K., and Hata, N. An Ultrasound-Driven Needle-Insertion Robot for Percutaneous Cholecystostomy. Physics in Medicine and Biology, 441–455 (2004)

    Google Scholar 

  7. Czajkowska, J., Juszczyk, J., Pycinski, B., and Pietka, E.: Biopsy Needle and Tissue Deformations Detection in Elastography Supported Ultrasound. Information Technologies in Medicine, 85–96 (2016)

    Google Scholar 

  8. Czajkowska, J., Pycinski, B., and Pietka, E. HoG Feature Based Detection of Tissue Deformations in Ultrasound Data. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 6326–6329 (2015)

    Google Scholar 

  9. Kaya, M., and Bebek, O.: Needle Localization Using Gabor Filtering in 2D Ultrasound Images. IEEE International Conference on Robotics & Automation (ICRA), 4881–4886 (2014)

    Google Scholar 

  10. Duda, R., and Hart P.: Use of the Hough transformation to detect lines and curves in pictures. Artificial Intelligence Center. SRI International 15(1), 11–15 (1971)

    Google Scholar 

  11. Vacavant, A., Ali, A., Grand-Brochier, M., Albouy-Kissi, A., Alfidja, A., Chabrot, P., and Boire, J.: Smoothed Shock Filtered Defuzzification with Zernike Moments for Liver Tumor Extraction in MR Images. IEEE Image Procesing Theory, Tools and Aplications, 17–21 (2015)

    Google Scholar 

  12. Vacavant, A., Albouy-Kissi, A., Menguy, P. Y., and Solomon J.: Fast Smoothed Shock Filtering. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 182–185 (2012)

    Google Scholar 

  13. Rangayyan, R., and Ayres, J: Gabor Filters and Phase Portraits for the Detection of Architectural Distortion in Mammograms. Medical & Biological Engineering & Computing 44, 883–894 (2006)

    Google Scholar 

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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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Correspondence to Agata Wijata .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70062-5

  • Online ISBN: 978-3-319-70063-2

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