Momen Abayazid1, Gustaaf J Vrooijink2, Sachin Patil3, Ron Alterovitz4, Sarthak Misra2. 1. MIRA-Institute for Biomedical Technology and Technical Medicine (Robotics and Mechatronics), University of Twente, Enschede, The Netherlands. m.abayazid@utwente.nl. 2. MIRA-Institute for Biomedical Technology and Technical Medicine (Robotics and Mechatronics), University of Twente, Enschede, The Netherlands. 3. Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA. 4. Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Abstract
PURPOSE: In this paper, we present a system capable of automatically steering bevel tip flexible needles under ultrasound guidance toward stationary and moving targets in gelatin phantoms and biological tissue while avoiding stationary and moving obstacles. We use three-dimensional (3D) ultrasound to track the needle tip during the procedure. METHODS: Our system uses a fast sampling-based path planner to compute and periodically update a feasible path to the target that avoids obstacles. We then use a novel control algorithm to steer the needle along the path in a manner that reduces the number of needle rotations, thus reducing tissue damage. We present experimental results for needle insertion procedures for both stationary and moving targets and obstacles for up to 90 mm of needle insertion. RESULTS: We obtained a mean targeting error of [Formula: see text] and [Formula: see text] mm in gelatin-based phantom and biological tissue, respectively. CONCLUSIONS: The achieved submillimeter accuracy suggests that our approach is sufficient to target the smallest lesions ([Formula: see text] 2 mm) that can be detected using state-of-the-art ultrasound imaging systems.
PURPOSE: In this paper, we present a system capable of automatically steering bevel tip flexible needles under ultrasound guidance toward stationary and moving targets in gelatin phantoms and biological tissue while avoiding stationary and moving obstacles. We use three-dimensional (3D) ultrasound to track the needle tip during the procedure. METHODS: Our system uses a fast sampling-based path planner to compute and periodically update a feasible path to the target that avoids obstacles. We then use a novel control algorithm to steer the needle along the path in a manner that reduces the number of needle rotations, thus reducing tissue damage. We present experimental results for needle insertion procedures for both stationary and moving targets and obstacles for up to 90 mm of needle insertion. RESULTS: We obtained a mean targeting error of [Formula: see text] and [Formula: see text] mm in gelatin-based phantom and biological tissue, respectively. CONCLUSIONS: The achieved submillimeter accuracy suggests that our approach is sufficient to target the smallest lesions ([Formula: see text] 2 mm) that can be detected using state-of-the-art ultrasound imaging systems.
Entities:
Keywords:
Computer-assisted surgery; Image-guided control; Medical robots and systems; Minimally invasive surgery; Needle–tissue interactions; Ultrasound
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