Hanyang Med Rev.  2016 Nov;36(4):254-261. 10.7599/hmr.2016.36.4.254.

On the structure of the macro-micro neurosurgical robots in stereotactic surgery

• Kim S
• Kim W

• KMID: 2361201
• DOI: http://doi.org/10.7599/hmr.2016.36.4.254

Abstract

Many different forms of the neurosurgical robots have been suggested for stereotactic surgery. Recently, their position accuracies exceed the ones of the conventional stereotactic devices and their assisting role for the surgeon are helpful by reducing the procedure and the operation time. Recent advancements of the position and image sensing technologies such as CT, MRI, dynamic position tracking sensing, etc., encourages the devotion of researchers to put more effort to treat the uncertainties such as brain shift, unexpected brain movements etc. In this trend, the more adequate, efficient, cost-effective structure of the surgical robot needs to be investigated. Thus, in this paper, the structure of the typical neurosurgical surgical robot and their position accuracies are reviewed and the desirable design aspects are addressed.

Keyword

Stereotactic surgery; neurosurgical surgery; Neurosurgery robot design

MeSH Terms

Brain
Magnetic Resonance Imaging

Figure

• 

  Fig. 1 The macro-micro type robot

Reference

1. Davies B. A review of robotics in surgery. Proc Inst Mech Eng H. 2000; 214:129–140.

2. Zanorano L, Li Q, Jain S, Kaur G. Robotics in neurosurgery: state of the art and future technological challenges. Int J Med Robot. 2004; 1:7–22.

3. Camarillo DB, Krummel TM, Salisbury JK. Robotic technology in surgery: past, present, and future. Am J Surg. 2004; 188:Suppl 1. S2–S15.

4. Nathoo N, Cavusoglu MC, Vogelbaum MA, Barnett GH. In touch with robotics: neurosurgery for the future. Neurosurgery. 2005; 56:421–433.

5. Zemiti N, Morel G, Ortmaier T, Bonnet N. Mechatronic design of a new robot for force control in minimally invasive surgery. IEEE ASME Trans Mechatron. 2007; 12:143–153.

6. Karas CS, Chiocca EA. Neurosurgical robotics: a review of brain and spine applications. J Robot Surg. 2007; 1:39–43.

7. Haidegger T, Kovacs L, Fordos G, Benyo Z, Kazanzides P. Future trends in robotics neurosurgery. IFMBE Proc. 2008; 20:229–233.

8. Kazanzides P, Fichtinger G, Hager GD, Okamura AM, Whitcomb LL, Taylor RH. Surgical and interventional robotics: core concepts, technology, and design. IEEE Robot Autom Mag. 2008; 15:122–130.

9. Beasley RA. Medical robots: current systems and research directions. 2012; article ID 401613:14 pages.

10. Bertelsen A, Melo J, Sánchez E, Borro D. A review of surgical robots for spinal interventions. Int J Med Robot. 2013; 9:407–422.

11. Mattei TA, Rodriguez AH, Sambhara D, Mendel E. Current state-of-art and future perspectives of robotc technology in neurosurgery. Neurosurg Rev. 2014; 37:357–366.

12. Li G, Su H, Cole GA, Shang W, Harrington K, Camilo A, Pilitsis JG. Robotic system for MRI-guided stereotactic neurosurgery. IEEE Trans Biomed Eng. 2015; 62:1077–1088.

13. https://www.elekta.com/neurosurgery/.

14. http://www.adhocmedical.com/en/.

15. http://www.integralife.com/.

16. Horner NB, Potts DG. A comparison of CT-stereotaxic brain biopsy techniques. Invest Radiol. 1984; 19:367–373.

17. Apuzzo ML, Chandrasoma PT, Cohen D, Zee CS, Zelman V. Computed imaging stereotaxy: experience and perspective related to 500 procedures applied to brain masses. Neurosurgery. 1987; 20:930–937.

18. Maciunas RJ, Galloway RLJ, Latimer JW. The application accuracy of stereotactic frames. Neurosurgery. 1994; 35:682–695.

19. Lunsford LD, Kondziolka D, Leksell D. Leksell stereotactic apparatus. In : Lozano AM, Gildenberg PL, Tasker RR, editors. Streotactic and functional neurosurgery. Berlin: Springer;2009. p. 469–485.

20. Li QH, Zamorano L, Pandya A, Perez R, Gong J, Diaz F. The application accuracy of the neuromate robot quantitative comparison with frameless and frame-based surgical localization systems. Comput Aided Surg. 2002; 7:90–98.

21. Holl EM, Petersen EA, Oltynle T, Martinez-Torres I, Limousin P, Hariz MI, Zrinzo L. Improving targeting in image-guided frame-based deep brain stimulation. Neurosurgery. 2010; 67:437–447.

22. EIjamel MS. Validation of the PathFinder neurosurgical robot using a phantom. Int J Med Robot. 2007; 3:372–377.

23. Varma TR, Eldridge P. Use of the NeuroMate stereotactic robot in a frameless mode for functional neurosurgery. Int J Med Robot. 2006; 2:107–113.

24. Lefranc M, Capel C, Pruvot AS, Fichten A, Desenclos C, Toussaint P, et al. The impact of the reference imaging modality registration method and intraoperative flat-panel computed tomography on the accuracy of ROSA stereotactic robot. Stereotact Funct Neurosurg. 2014; 92:242–250.

25. Chan F, Kassim I, Lo C, Ho CL, David Low, Ang BT, Ng I. Image-guided robotic neurosurgery-an in vitro and in vivo point accuracy evaluation experimental study. Surg Neurol. 2009; 71:640–648.

26. Joskowicz L, Shamir R, Freiman M, Shoham M, Zehavi E, Umansky F, Shoshan Y. Image-guided system with miniature robot for precise positioning and targeting in keyhole neurosurgery. Comput Aided Surg. 2006; 11:181–193.

27. De Momi E, Ferrigno G. Robotic and artificial intelligence for keyhole neurosurgery: the ROBOCAST project, a multi-modal autonomous path planner. Proc Inst Mech Eng H. 2009; 224:715–727.

28. Comparetti MD, Vaccarella A, Lorenzo DD, Ferrigno G, Momi ED. Multi-robotic approach for keyhole neurosurgery: the ROBOCAST project. In : Proc. of the 2011 SCATh joint workshop on new technologies for computer/robot assisted surgery; Graz Austria. 2011.

29. Heinig M, Govela MF, Gasca F, Dold C, Hofmann UG, Tronnier V, et al. MARS-Motor Assisted Robotic Steoreotaxy System. In : Proc. 5th Inte IEEE EMBS Conf on Neural Engineering Cancun; 2011. p. 334–337.

30. Heinig M, Hofmann UG, Schlaefer A. Calibration of the motor-assisted robotic stereotaxy system: MARS. Int J Comput Assist Radiol Surg. 2012; 7:911–920.

31. https://www.physikinstrumente.com/en/.

32. Shoham M, Burman M, Zehavi E, Joskowicz L, Batkilin E, Kunicher Y. Bone-mounted miniature robot for surgical procedures: concept and clinical applications. IEEE Trans Rob Autom. 2003; 19(5):893–901.

33. Comparetti MD, Momi ED, Riechmann M, Vaccarella A, Ferrigno G. Optically tracked multi-robot system for keyhole neurosurgery. In : Proc. Inte Conf on Robo Autom; 2011. p. 661–666.

34. Kwoh YS, Jou J, Jonckheere EA, Hayait S. A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans Biomed Eng. 1988; 35:153–160.

35. Benabid AL, Cinquin P, Lavalle S, Le Bas JF, Demongest J, de Rougemont J. Computer-driven robot for stereotactic surgery connected to CT scan and magnetic resonance imaging; technological design and preliminary results. Appl Neurophysiol. 1987; 50:153–154.

36. Glauser D, Fankhauser H, Epitaux M, Hefti JL, Jaccottet A. Neurosurgical robot Minerva: first results and current developments. J Image Guid Surg. 1995; 1:266–272.

37. Sutherland GR, Latour I, Greer AD, Fielding T, Feil G, Newhook P. An image-guided magnetic resonance-compatible surgical robot. Neurosurgery. 2008; 62:286–293.

38. Seo JT, Woo JH, Lim H, Yi B-J. Design of a new counter-balancing stackable mechanism. In : Proc. IEEE Int. Conf. on Robotics and Autom; 2014. p. 2372–2377.

39. Lim H, Seo JT, Woo JH, Lee SH, Yi B-J. Development of passive robot system with warning system for otologic surgery. In : Korean Robotics Conference; 2015. p. 459–460.

40. Kim SM, Cheong J, Kim WK, Yi B-J. Development of a selectively passive macro-micro type neurosurgical robot. In : 12th Asian Conf Comput Aided Surg; 2016. p. 151–152.