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Development and evaluation of robot‐assisted ultrasound navigation system for pedicle screw placement: An ex‐vivo animal validation

Ruixuan Li, Ayoob Davoodi, Yuyu Cai, Gianni Borghesan, Nicola Cavalcanti, Christoph J. Laux, Mazda Farshad, Fabio Carrillo, Philipp Fürnstahl, Emmanuel Vander Poorten

Year
2023
Citations
7
Access
Open access

Abstract

PURPOSE: Spinal instrumentation with pedicle screw placement (PSP) is an important surgical technique for spinal diseases. Accurate screw trajectory is a prerequisite for PSP. Ultrasound (US) imaging with robot-assisted system forms a non-radiative alternative to provide precise screw trajectory. This study reports on the development and assessment of US navigation for this application. METHODS: A robot-assisted US reconstruction was proposed and an automatic CT-to-US registration algorithm was investigated, allowing the registration of screw trajectories. Experiments were conducted on ex-vivo lamb spines to evaluate system performance. RESULTS: In total, 72 screw trajectories are measured, displaying an average position accuracy of 2.80 ± 1.14 mm and orientation accuracy of 1.38 ± 0.61°. CONCLUSION: The experimental results demonstrate the feasibility of proposed US system. This work, although restricted to laboratory settings, encourages further exploration of the potential of this technology in clinical practice.

Keywords

Ex vivoComputer scienceTrajectoryNavigation systemOrientation (vector space)Guidance systemInstrumentation (computer programming)RobotUltrasoundComputer vision

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