Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

P. Chatelain, A. Krupa, M. Marchal
Real-Time Needle Detection and Tracking Using a Visually Servoed 3D Ultrasound Probe
Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 2013 (bib)

In this paper, we present a method to localize and track manually inserted needles in real-time using a three-dimensional ultrasound probe mounted on a robotized arm. The system tracks the needle in real-time using image processing. We first propose a new algorithm capable of robustly detecting a needle from the moment it is inserted, without any a priori information on the insertion direction. By combining the random sample consensus (RANSAC) algorithm with Kalman filtering in closed loop, we achieve robust real-time tracking of the needle. In addition, we propose a control scheme to automatically guide the ultrasonic probe in order to keep the needle within the field of view, while aligning its axis with the ultrasound beam. This method will ease the insertion of the needle by the operator, and allow the development of autonomous needle insertion by medical robots.

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