Development of a Medical Robotics System for Image Guided Needle Operations
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In the percutaneous needle procedures, the needle should be detected precisely to avoid damage to healty tissue and to get the samples. Excessive artifacts and low resolution of the ultrasound (US) images make it difficult to detect needle and its tip. It is possible to enhance the needle image using image processing; and this work proposes a novel needle detection method in 2D US images.
This project is supported by TÜBİTAK – National Young Researchers Career Development Program (CAREER)
Mirza Awais Ahmad
Mehmet Can Yıldırım
M. Kaya and O. Bebek, “Needle Localization Using Gabor Filtering in 2D Ultrasound Images”, In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May 31 – June 7, 2014, Hong Kong, China, pp. 4881-4886.
M. Kaya, E. Senel, A. Ahmad, O. Orhan, and O. Bebek, “Real-time Needle Tip Localization in 2D Ultrasound Images for Robotic Biopsies”, In Proceedings of the 17th International Conference on Advanced Robotics (ICAR), pp. 47-52, July 27-31, 2015, Istanbul, Turkey. DOI: 10.1109/ICAR.2015.7251432
M. Kaya, E. Senel, A. Ahmad, and O. Bebek, “Visual Tracking of Biopsy Needles in 2D
Ultrasound Images “, Presented at the IEEE International Conference on Robotics and Automation (ICRA), May 31 – June 7, 2016, pp. 4386-4391, Stockholm, Sweden. doi:10.1109/ICRA.2016.7487637
M. Kaya, E. Senel, A. Ahmad, and O. Bebek, “Visual Tracking of Multiple Moving Targets in 2D Ultrasound Guided Robotic Percutaneous Interventions“, Accepted to the IEEE International Conference on Robotics and Automation (ICRA), May 29 – June 3, 2017, Singapour.
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ICRA 2016 & TMECH
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