Path planning for semi-automated simulated robotic neurosurgery

This paper considers the semi-automated robotic surgical procedure for removing the brain tumor margins, where the manual operation is a tedious and time-consuming task for surgeons. We present robust path planning methods for robotic ablation of tumor residues in various shapes, which are represented in point-clouds instead of analytical geometry. Along with the path plans, corresponding metrics are also delivered to the surgeon for selecting the optimal candidate in the automated robotic ablation. The selected path plan is then executed and tested on RAVEN™ II surgical robot platform as part of the semi-automated robotic brain tumor ablation surgery in a simulated tissue phantom.

[1]  Vedant Kumar,et al.  A Survey of Shape Analysis Techniques , 2014 .

[2]  Blake Hannaford,et al.  Semi-autonomous simulated brain tumor ablation with RAVENII Surgical Robot using behavior tree , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Blake Hannaford,et al.  Toward real-time endoscopically-guided robotic navigation based on a 3D virtual surgical field model , 2015, Medical Imaging.

[4]  Nina M. Muñoz,et al.  Tumor paint: a chlorotoxin:Cy5.5 bioconjugate for intraoperative visualization of cancer foci. , 2007, Cancer research.

[5]  Richard S. Johnston,et al.  A full-color scanning fiber endoscope , 2006, SPIE BiOS.

[6]  Sang C. Park,et al.  Tool-path planning for direction-parallel area milling , 2000, Comput. Aided Des..

[7]  Xiaoping Qian,et al.  Adaptive NC Path Generation From Massive Point Data With Bounded Error , 2008 .

[8]  Ke-Rong Dai,et al.  Reverse engineering in CAD model reconstruction of customized artificial joint. , 2005, Medical engineering & physics.

[9]  Blake Hannaford,et al.  Raven-II: An Open Platform for Surgical Robotics Research , 2013, IEEE Transactions on Biomedical Engineering.

[10]  D S Paik,et al.  Automated flight path planning for virtual endoscopy. , 1998, Medical physics.

[11]  Murat Cenk Cavusoglu,et al.  Needle path planning for autonomous robotic surgical suturing , 2013, 2013 IEEE International Conference on Robotics and Automation.

[12]  M. C. Cavusoglu,et al.  In Touch with Robotics: Neurosurgery for the Future , 2005, Neurosurgery.

[13]  Alan C. Lin,et al.  Automatic generation of NC cutter path from massive data points , 1998, Comput. Aided Des..

[14]  Blake Hannaford,et al.  Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot , 2014, Journal of medical imaging.

[15]  Sven Loncaric,et al.  A survey of shape analysis techniques , 1998, Pattern Recognit..

[16]  Theodosios Pavlidis,et al.  A review of algorithms for shape analysis , 1978 .

[17]  L. J. Bond,et al.  Physics of ultrasonic surgery using tissue fragmentation , 1995, 1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium.

[18]  S. Shankar Sastry,et al.  3D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics , 2008, WAFR.

[19]  Ève Coste-Manière,et al.  Optimal planning for minimally invasive surgical robots , 2003, IEEE Trans. Robotics Autom..

[20]  Z L Gokaslan,et al.  A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. , 2001, Journal of neurosurgery.

[21]  Ralph R. Martin,et al.  Reverse engineering of geometric models - an introduction , 1997, Comput. Aided Des..

[22]  P. Kazanzides,et al.  Future Trends in Robotic Neurosurgery , 2008 .

[23]  Petter Ögren,et al.  Towards a unified behavior trees framework for robot control , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[24]  Philippe Poignet,et al.  Robot-assisted automatic insertion of steerable needles with closed-loop imaging feedback and intraoperative trajectory replanning , 2013 .

[25]  Bala R. Vatti.  A generic solution to polygon clipping , 1992, CACM.

[26]  Thierry Siméon,et al.  The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty , 2007, Robotics: Science and Systems.

[27]  Gregory S. Chirikjian,et al.  Steering flexible needles under Markov motion uncertainty , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  W. K. Chiu,et al.  Direct 5-axis tool-path generation from point cloud input using 3D biarc fitting , 2008 .