Browse > Article
http://dx.doi.org/10.7315/CADCAM.2013.243

Tool-path Generation for a Robotic Skull Drilling System  

Chung, YunChan (Department of Mechanical System Design Engineering, Seoul National University of Science and Technology)
Abstract
This paper presents a tool-path generation methods for an automated robotic system for skull drilling, which is performed to access to some neurosurgical interventions. The path controls of the robotic system are classified as move, probe, cut, and poke motions. The four motions are the basic motion elements of the tool-paths to make a hole on a skull. Probing, rough cutting and fine cutting paths are generated for skull drilling. For the rough cutting path circular paths are projected on the offset surfaces of the outer top and the inner bottom surfaces of the skull. The projected paths become the paths on the top and bottom layers of the rough cutting paths. The two projected paths are blended for the paths on the other layers. Syntax of the motion commands for a file format is also suggested for the tool-paths. Implementation and simulation results show that the possibility of the proposed methods.
Keywords
Neurosurgical operation; Robotic surgery; Skull drilling; Tool-path generation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Chung, Y.C., 2012, Prototype Development of a Robotic System for Skull Drilling. Transactions of the Society of CAD/CAM Engineers, 17(3), pp.198-207.   과학기술학회마을   DOI   ScienceOn
2 Chung, Y.C., 2005, Tool-path Computing by Slicing Offset Triangles and Tracing Intersections. Transactions of the Society of CAD/CAM Engineers, 10(6), pp.455-464.   과학기술학회마을
3 Kim, S.J. and Yang, M.Y., 2005, Triangular Mesh Offset for Generalized Cutter. Computer-Aided Design, 37, pp.999-1014.   DOI   ScienceOn
4 Park, S.C., 2004, Sculptured Surface Machining Using Triangular Mesh Slicing. Computer-Aided Design, 36, pp.279-288.   DOI   ScienceOn
5 Sugita, N., Osa, T., Nakajima, Y. and Mitsuishi, M., 2008, Optimization of Toolpath Generation in Medical CAM for a Machine Tool for Orthopedic Surgery. Manufacturing Systems and Technologies for the New Frontier, Part 11, pp.405-408.
6 Taylor, R.H., Lavallee, S., Burdea, G.C. and Mosges, R., 1996, Computer-Integrated Surgery, The MIT Press, Cambridge, pp.371-463.
7 Mitsuishi, M., Warisawa, S., Sugita, N., Suzuki, M., Moriya, H., Hashizume, H., Fujiwara, K., Abe, N., Inoue, H., Kuramoto, K., Inoue, T., Nakashima, Y. and Tanimoto, K., 2005, A Study of Bone Micro-Cutting Characteristics Using a Newly Developed Advanced Bone Cutting Machine Tool for Total Knee Arthroplasty, CIRP Annlas - Manufacturing Technology, 54(1), pp.41-46.   DOI   ScienceOn
8 Wang, T., Luan, S., Hu, L., Liu, Z., Li, W. and Jiang, L., 2010, Force-based Control of a Compact Spinal Milling Robot. The International Journal of Medical Robotics and Computer Assisted Surgery, 6(2), pp.178-185.
9 Chung, Y.C., 2013, Path Control for NeuroMate Robot in a Skull Drilling System. Transactions of the Korean Society of Manufacturing Technology Engineers, 22(2), pp.256-262.   과학기술학회마을   DOI   ScienceOn
10 Brady, M., Hollerbach, J.M., Johnson, T.L., Lozano-Perez, T. and Mason, M.T., 1983, Robot Motion: Planning and Control, The MIT Press.
11 3D Slicer, http://www.slicer.org.