Modelling the Deformation of Biologically Inspired Flexible Structures for Needle Steering

Recent technical advances in minimally invasive surgery have been enabled by the development of new medical instruments and technologies. To date, the vast majority of mechanisms used within a clinical context are rigid, contrasting with the compliant nature of biological tissues. The field of robotics has seen an increased interest in flexible and compliant systems, and in this paper we investigate the behaviour of deformable multi-segment structures, which take their inspiration from the ovipositor design of parasitic wood wasps. These configurable structures have been shown to steer through highly compliant substrates, potentially enabling percutaneous access to the most delicate of tissues, such as the brain. The model presented here sheds light on how the deformation of the unique structure is related to its shape, and allows comparison between different potential designs. A finite element study is used to evaluate the proposed model, which is shown to provide a good fit (root-mean-square deviation 0.2636 mm for 4-segment case). The results show that both 3-segment and 4-segment designs are able to achieve deformation in all directions, however the magnitude of deformation is more consistent in the 4-segment case.

[1]  Daniel Glozman,et al.  Flexible Needle Steering and Optimal Trajectory Planning for Percutaneous Therapies , 2004, MICCAI.

[2]  Brian L. Davies,et al.  Early Developments of a Novel Smart Actuator Inspired by Nature , 2008 .

[3]  Septimiu E. Salcudean,et al.  Interactive simulation of needle insertion models , 2005, IEEE Transactions on Biomedical Engineering.

[4]  Jenny Dankelman,et al.  Design Choices in Needle Steering—A Review , 2015, IEEE/ASME Transactions on Mechatronics.

[5]  Riccardo Secoli,et al.  Experimental characterisation of a biologically inspired 3D steering needle , 2013, 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013).

[6]  Riccardo Secoli,et al.  Adaptive path-following control for bio-inspired steerable needles , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[7]  D. Caleb Rucker,et al.  A model for concentric tube continuum robots under applied wrenches , 2010, 2010 IEEE International Conference on Robotics and Automation.

[8]  Kaspar Althoefer,et al.  Towards kinematic modeling of a multi-DOF tendon driven robotic catheter , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Robert J. Webster,et al.  A Flexure-Based Steerable Needle: High Curvature With Reduced Tissue Damage , 2013, IEEE Transactions on Biomedical Engineering.

[10]  Kyle B. Reed,et al.  Robot-Assisted Needle Steering , 2011, IEEE Robotics & Automation Magazine.

[11]  V. Kallem,et al.  Integrated planning and image-guided control for planar needle steering , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[12]  Seong-Young Ko,et al.  Trajectory following for a flexible probe with state/input constraints: An approach based on model predictive control , 2012, Robotics Auton. Syst..

[13]  Rajni V. Patel,et al.  Needle insertion into soft tissue: a survey. , 2007, Medical engineering & physics.

[14]  Allison M. Okamura,et al.  Planning for Steerable Bevel-tip Needle Insertion Through 2D Soft Tissue with Obstacles , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[15]  Sarthak Misra,et al.  Modeling and steering of a novel actuated-tip needle through a soft-tissue simulant using Fiber Bragg Grating sensors , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[16]  L Frasson,et al.  STING: a soft-tissue intervention and neurosurgical guide to access deep brain lesions through curved trajectories , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[17]  Carlos Rossa,et al.  A Two-Body Rigid/Flexible Model of Needle Steering Dynamics in Soft Tissue , 2016, IEEE/ASME Transactions on Mechatronics.

[18]  Pierre E. Dupont,et al.  Design and Control of Concentric-Tube Robots , 2010, IEEE Transactions on Robotics.

[19]  Kyu-Jin Cho,et al.  Design of an Optically Controlled MR-Compatible Active Needle , 2015, IEEE Transactions on Robotics.

[20]  Jin Seob Kim,et al.  Nonholonomic Modeling of Needle Steering , 2006, Int. J. Robotics Res..

[21]  D. Quicke,et al.  Ovipositor steering mechanisms in parasitic wasps of the families Gasteruptiidae and Aulacidae (Hymenoptera) , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[22]  Vinutha Kallem,et al.  Image Guidance of Flexible Tip-Steerable Needles , 2009, IEEE Transactions on Robotics.

[23]  Daniele Dini,et al.  Detailed finite element modelling of deep needle insertions into a soft tissue phantom using a cohesive approach , 2013, Computer methods in biomechanics and biomedical engineering.

[24]  J. Vincent,et al.  The mechanism of drilling by wood wasp ovipositors , 1995 .

[25]  Patrick Degenaar,et al.  Soft tissue traversal with zero net force: Feasibility study of a biologically inspired design based on reciprocal motion , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[26]  D. Minhas,et al.  Percutaneous Intracerebral Navigation by Duty-Cycled Spinning of Flexible Bevel-Tipped Needles , 2010, Neurosurgery.