Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-13T08:00:19.020Z Has data issue: false hasContentIssue false

Toward an optimal performance index for neurosurgical robot's design

Published online by Cambridge University Press:  02 September 2009

Alessandro Gasparetto
Affiliation:
DIEGM, Università degli Studi di Udine, via delle Scienze 208, Udine 33100, Italy
Vanni Zanotto*
Affiliation:
DIEGM, Università degli Studi di Udine, via delle Scienze 208, Udine 33100, Italy
*
*Corresponding author. E-mail: vanni.zanotto@uniud.it

Summary

In the past years a large number of new surgical devices have been developed to improve the operation outcomes and reduce the patient's trauma. Nevertheless, the dexterity and accuracy required in positioning the surgical tools are often unreachable if the surgeons are not assisted by a suitable system. Since a medical robot works in an operating room, close to the patient and the medical staff, it has to satisfy much stricter requirements with respect to an industrial one. From a kinematic point of view, the robot must reach any target position in the patient's body, being as less invasive as possible for the surgeon's workspace. In order to meet such requirements, the right robot structure has to be chosen by means of the definition of suitable kinematic performance indices.

In this paper some task-based indices based on the robot workspace and stiffness are presented and discussed. The indices will be used in a multiobjective optimization problem to evaluate best robot kinematic structure for a given neurosurgical task.

Type
Article
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Benabid, A. L. and Nowinski, W. L., “Intraoperative robotics for the practice of neurosurgery: a surgeon's perspective,” In: The Operating Room for the 21st Century (Apuzzo, M. L., ed.) (AANS, 2003) pp. 103118.Google Scholar
2. McBeth, P. B., Louw, D. F., Rizun, P. R. and Sutherland, G. R., “Robotics in Neurosurgery,” Am. J. Surg. 188 (4, Suppl. 1), 6875 (Oct. 2004).CrossRefGoogle ScholarPubMed
3. Gildenberg, P. L., “What is stereotactic surgery?” available at http://www.stereotactic:net=whatis.htm (Huston Stereotactic Center).Google Scholar
4. Burckhart, C. W., Flury, P. and Glauser, D., “Stereotactic brain surgery,” IEEE Eng. Med. Biol. 14, 314317 (1995).Google Scholar
5. Kwoh, Y. S., Hou, J., Jonckheere, E. A. and Hayati, S., “A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery,” IEEE Trans. Biomed. Eng. 35 (2), 153160 (1988).CrossRefGoogle ScholarPubMed
6. Wagner, T. H., Taeil, Y., Meeks, S. L., Bova, F. J., Brechner, B. L., Yunmei, C., Buatti, J. M., Friedman, W. A., Foote, K. D. and Bouchet, L. G., “A geometrically based method for automated radiosurgery planning,” Int. J. Rad. Oncol. Biol. Phys. 48 (5), 15991611 (Dec. 2000).Google Scholar
7. Kwoh, Y. S., Hou, J., Jonckheere, E. A. and Hayati, S., “A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery,” IEEE Trans. Biomed. Eng. 35, 153160 (1988).CrossRefGoogle ScholarPubMed
8. Drake, J. M., Joy, M., Goldenberg, A. and Kreindler, D., “Computer- and robot-assisted resection of thalamic astrocytomas in children,” Neurosurgery 29, 2731 (1991).CrossRefGoogle ScholarPubMed
9. Benabid, A. L., Cinquin, P., Lavalle, S., Le Bas, J. F., Demongeot, J. and de Rougemont, J., “Computer-driven robot for stereotactic surgery connected to CT scan and magnetic resonance imaging: Technological design and preliminary results,” Appl. Neurophysiol. 50, 153154 (1987).Google Scholar
10. McBeth, P. B., Louw, D. F., Rizun, P. R. and Sutherland, G. R., “Robotics in neurosurgeryAm. J. Surg. 188 (4, Suppl. 1), 6875 (Oct. 2004).CrossRefGoogle ScholarPubMed
11. Li, Q., Zamorano, L., Pandya, A., Perez, R., Gong, J. and Diaz, F., “The application accuracy of the NeuroMate robot – a quantitative comparison with frameless and frame-based surgical localization systems,” Comp. Aid. Surg. 7, 9098 (2002).CrossRefGoogle ScholarPubMed
12. Hongo, K., Goto, T., Kakizawa, Y., Koyama, J.-I., Kawai, T., Kan, K., Tanaka, Y. and Kobayashi, S., “Micromanipulator system (NeuRobot): Clinical application in neurosurgery,” Int. Congr. Ser. 1256, 509513 (Jun. 2003).Google Scholar
13. Miyahara, T., Goto, T., Kakizawa, Y., Koyama, J., Tanaka, Y. and Hongo, K., “Neurosurgical telecontrolled micromanipulator system (NeuRobot): Clinically applied cases and further development,” Int. Congr. Ser. 1281, 1363 (May 2005).CrossRefGoogle Scholar
14. Michael, M. D., Krishnanand, R. Raabe, A., “Robot-assisted navigated neuroendoscopy,” Neurosurgery 51 (6), 14461452 (Dec. 2002).Google Scholar
15. Tian, Z., Liu, J., Zhang, Y., Wang, T. and Xing, H., “Neuromaster: a robot system for neurosurgery,” IEEE International Conference on Robotics and Automation, ICRA 2004, New Orleans, LA (26 April to 1 May 2004), 821828.Google Scholar
16. Kucuk, S. and Bingul, Z., “Robot workspace optimization based on a novel local and global performance indices,” IEEE International Symposium on Industrial Electronics, ISIE 2005, Dubrovnik, Croatia (20–23 June 2005) 15931598.Google Scholar
17. Kucuk, S. and Bingul, Z., “Comparative study of performance indices for fundamental robot manipulators,” Rob. Auton. Syst. 54, 567573 (2006).CrossRefGoogle Scholar
18. Mayorg, R. V., Carrera, J. and Oritz, M. M., “A kinematics performance index based on the rate of change of a standard isotropy condition for robot design optimization,” Rob. Auton. Syst. 53, 153163 (2005).Google Scholar
19. Nawratil, G., “New performance indices for 6R robots,” Mech. Mach. Theory 42, 14991511 (2007).CrossRefGoogle Scholar
20. Carbone, G., Ottaviano, E. and Ceccarelli, M., “An optimum design procedure for both serial and parallel manipulators,” J. Mech. Eng. Sci. 221 (7), 829843 (2007).CrossRefGoogle Scholar
21. Gosselin, C. and Angeles, J., “The optimum kinematic design of a planar three-degree-of-freedom parallel manipulator,” ASME J. Mech. Transm. Autom. Des. 110, 3541 (1988).Google Scholar
22. Park, F. C., “Optimal robot design and differential geometry,” Trans. ASME 117, 8792 (1995).CrossRefGoogle Scholar
23. Ceccarelli, M., “A synthesis algorithm for three-revolute manipulators by using an algebraic formulation of workspace boundary,” ASME J. Mech. Des. 117, 298302e (1995).CrossRefGoogle Scholar
24. Carbone, G. and Ceccarelli, M., “A Serial-parallel robotic architecture for surgical tasks,” Robotica 23 (3), 345354 (May 2005). Doi: 10.1017/S0263574704000967.CrossRefGoogle Scholar
25. Rivin, E. I., Stiffness and Damping in Mechanical Design (Marcel Dekker, New York, 1999).CrossRefGoogle Scholar
26. Kardestuncer, H.. Elementary Matrix Analysis of Structures (McGraw-Hill, Kogakusha, Tokyo, 1974).Google Scholar
27. Cosgrove, G. R., Hochberg, F. H. and, Zervas, N. T., et al. , “Interstitial irradiation of brain tumors, using a miniature radiosurgery device: initial experience,” Neurosurgery 40, 518525 (1997).Google ScholarPubMed
28. Rossi, A., Trevisani, A. and Zanotto, V., “A telerobotic haptic system for minimally invasive stereotactic neurosurgery,” Int. J. Med. Rob. Comp. Assisted Surg. . 1 (2), 6475 (2005).CrossRefGoogle ScholarPubMed
29. Rossi, A., Gasparetto, A., Trevisani, A. and Zanotto, V., “A robotic approach to stereotacticradio-surgery,” Proceedings of the 7th Biennial ASME Conference on Engineering Systems Design and Analysis, Manchester, UK (Jul. 2004) pp. 1922.Google Scholar
30. Gasparetto, A., Vidoni, R., Zanotto, V., “NEUROBUD: A novel robot for neurosurgery,” Proceedings of the the 16th International Workshop in Alpe-Adria Danube Region (RAAD 2007), Ljubljana, Slovenia (June 7–9, 2007).Google Scholar
31. Sciavicco, L. and Siciliano, B., Modelling and Control of Robot Manipulators, Advanced Textbooks in Control and Signal Processing Series (Springer, London, UK, 2000).Google Scholar
32. Manseur, Rachid, Robot Modeling and kinematics, Da Vinci Engineering Press (April 2006).Google Scholar