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Towards Steering a High-Dose Rate Brachytherapy Needle With a Robotic Steerable Stylet

Nancy J. Deaton, Timothy A. Brumfiel, Maxina Sheft, Kent K. Yamamoto, Drew Elliott, Pretesh Patel, Jaydev P. Desai

Year
2023
Citations
11

Abstract

Steerable needles are desired for many applications within the medical field. One such application is high-dose rate (HDR) brachytherapy. In this paper, an adaptive control system is proposed to provide control of the planar bending angle or deflection distance of a tendon-driven continuum joint, which can be inserted as the stylet in a commercial hollow needle for HDR brachytherapy. Proportional–integral–derivative (PID) controllers are a common method of control. However, significant tuning may be required to achieve the desired dynamic response, and the tuned gains may not achieve the desired response in a different environment or if the system model varies. Steerable needles must navigate through tissues of differing viscoelastic properties and the use of nitinol for the joint and tendons of a steerable needle leads to change in the system parameters due to change in the phase of the nitinol material. In this article, we propose the real-time adaptation of PID gains using model reference adaptive control techniques to control the planar bending angle or deflection distance of a steerable stylet and needle system.

Keywords

StyletPID controllerDeflection (physics)BrachytherapyPlanarComputer scienceBiomedical engineeringControl theory (sociology)EngineeringControl engineering

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