Design and analysis of a novel long-distance double tendon-sheath transmission device for breast intervention robots under MRI field

Cancer represents a major threat to human health. Magnetic resonance imaging (MRI) provides superior performance to other imaging-based examination methods in the detection of tumors and offers distinct advantages in biopsy and seed implantation. However, because of the MRI environment, the material requirements for actuating devices for the medical robots used in MRI are incredibly demanding. This paper describes a novel double tendon-sheath transmission device for use in MRI applications. LeBus grooves are used in the original transmission wheels, thus enabling the system to realize long-distance and large-stroke transmission with improved accuracy. The friction model of the transmission system and the transmission characteristics model of the novel tendon-sheath structure are then established. To address the problem that tension sensors cannot be installed in large-stroke transmission systems, a three-point force measurement method is used to measure and set an appropriate preload in the novel tendon-sheath transmission system. Additionally, experiments are conducted to verify the accuracy of the theoretical model and multiple groups of tests are performed to explore the transmission characteristics. Finally, the novel tendon-sheath transmission system is compensated to improve its accuracy and the experimental results acquired after compensation show that the system satisfies the design requirements.

[1]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[2]  Benjamin D. Smith,et al.  How Does MR Imaging Help Care for My Breast Cancer Patient? Perspective of a Radiation Oncologist. , 2018, Magnetic resonance imaging clinics of North America.

[3]  Lin Chen,et al.  Transmission Model and Compensation Control of Double-Tendon-Sheath Actuation System , 2015, IEEE Transactions on Industrial Electronics.

[4]  Yong-Jae Kim,et al.  Anthropomorphic Low-Inertia High-Stiffness Manipulator for High-Speed Safe Interaction , 2017, IEEE Transactions on Robotics.

[5]  Yongde Zhang,et al.  A MRI compatible robot for breast intervention , 2015, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[6]  Bin Yao,et al.  Modeling of Viscoelastic Cable-Conduit Actuation for MRI Compatible Systems , 2013 .

[7]  Shan Jiang,et al.  Design and analysis of a tendon-based computed tomography–compatible robot with remote center of motion for lung biopsy , 2017, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[8]  G. Fischer,et al.  SENSORS, ACTUATORS, AND ROBOTS FOR MRI-GUIDED SURGERY AND INTERVENTIONS , 2018, The Encyclopedia of Medical Robotics.

[9]  Jinhua Li,et al.  Development and experiment of the Internet-based telesurgery with MicroHand robot , 2018 .

[10]  Aiguo Song,et al.  Stereotactic Systems for MRI-Guided Neurosurgeries: A State-of-the-Art Review , 2018, Annals of Biomedical Engineering.

[11]  Makoto Kaneko,et al.  Input-dependent stability of joint torque control of tendon-driven robot hands , 1992, IEEE Trans. Ind. Electron..

[12]  Bin Yao,et al.  Modeling of Transmission Characteristics Across a Cable-Conduit System , 2010, IEEE Transactions on Robotics.

[13]  T. Piatkowski,et al.  Dahl and LuGre dynamic friction models — The analysis of selected properties , 2014 .

[14]  Yongde Zhang,et al.  Recent Advances on Breast Intervention Surgery Robot , 2016 .

[15]  Frans C. T. van der Helm,et al.  Bowden Cable Actuator for Force-Feedback Exoskeletons , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Qi Zhang,et al.  Modeling of Novel Compound Tendon-Sheath Artificial Muscle Inspired by Hill Muscle Model , 2018, IEEE Transactions on Industrial Electronics.

[17]  Mehmet Emin Aktan,et al.  Design and control of a diagnosis and treatment aimed robotic platform for wrist and forearm rehabilitation: DIAGNOBOT , 2018 .

[18]  Shan Jiang,et al.  Design, analysis and control of a novel tendon-driven magnetic resonance–guided robotic system for minimally invasive breast surgery , 2015, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[19]  Kevin Cleary,et al.  MRI Robots for Needle-Based Interventions: Systems and Technology , 2018, Annals of Biomedical Engineering.

[20]  Gianluca Palli,et al.  Modeling, Identification, and Control of Tendon-Based Actuation Systems , 2012, IEEE Transactions on Robotics.

[21]  Thanh Nho Do,et al.  A survey on actuators-driven surgical robots , 2016 .

[22]  Giulio Dagnino,et al.  Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation. , 2019, Annual review of biomedical engineering.

[23]  Tegoeh Tjahjowidodo,et al.  Adaptive control for enhancing tracking performances of flexible tendon–sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES) , 2015 .

[24]  Samuel J. Allen,et al.  Direct torque control for cable conduit mechanisms for the robotic foot for footwear testing , 2018 .

[25]  Dan Stoianovici,et al.  Multi-Imager Compatible, MR Safe, Remote Center of Motion Needle-Guide Robot , 2018, IEEE Transactions on Biomedical Engineering.

[26]  M. Kaneko,et al.  Basic considerations on transmission characteristics for tendon drive robots , 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

[27]  Ke-Yi Wang,et al.  The man-machine motion planning of rigid-flexible hybrid lower limb rehabilitation robot , 2018, Advances in Mechanical Engineering.