References

• 1. 1)
     • 1. Kersten-Oertel, M., Jannin, P., Collins, D.L.: ‘The state of the art of visualization in mixed reality image guided surgery’, Comput. Med. Imaging Graph., 2013, 37, (2), pp. 98–112 (doi: 10.1016/j.compmedimag.2013.01.009).
  2. 2)
     • 2. Kikinis, R., Gleason, P.L., Lorensen, W.E., et al: ‘Image guidance techniques for neurosurgery’. Visualization in Biomedical Computing 1994 Int. Society for Optics and Photonics, 1994, pp. 537–540.
  3. 3)
     • 3. Edwards, P.J., King, A.P., Maurer, C.R., et al: ‘Design and evaluation of a system for microscope-assisted guided interventions (magi)’, IEEE Trans. Med. Imaging, 2000, 19, (11), pp. 1082–1093 (doi: 10.1109/42.896784).
  4. 4)
     • 4. Cabrilo, I., Bijlenga, P., Schaller, K.: ‘Augmented reality in the surgery of cerebral aneurysms: a technical report’, Oper. Neurosurg., 2011, 10, (2), pp. 252–261.
  5. 5)
     • 5. Cabrilo, I., Bijlenga, P., Schaller, K.: ‘Augmented reality in the surgery of cerebral arteriovenous malformations: technique assessment and considerations’, Acta Neurochir., 2014, 156, (9), pp. 1769–1774 (doi: 10.1007/s00701-014-2183-9).
  6. 6)
     • 6. Kersten-Oertel, M., Gerard, I.J., Drouin, S., et al: ‘Augmented reality for specific neurovascular surgical tasks’. Workshop on Augmented Environments for Computer-Assisted Interventions, 2015, pp. 92–103.
  7. 7)
     • 7. Kersten-Oertel, M., Gerard, I.J., Drouin, S., et al: ‘Towards augmented reality guided craniotomy planning in tumour resections’. Int. Conf. Medical Imaging and Virtual Reality, 2016, pp. 163–174.
  8. 8)
     • 8. Mobasheri, M.H., Johnston, M., Syed, U.M., et al: ‘The uses of smartphones and tablet devices in surgery: a systematic review of the literature’, Surgery, 2015, 158, (5), pp. 1352–1371 (doi: 10.1016/j.surg.2015.03.029).
  9. 9)
     • 7. Deng, W., et al: ‘Easy-to-use augmented reality neuronavigation using a wireless tablet PC’, Stereotact Funct Neurosurg, 2014, 92, (1), pp. 17–24 (doi: 10.1159/000354816).
  10. 10)
      • 10. Watanabe, E., Satoh, M., Konno, T., et al: ‘The trans-visible navigator: a see-through neuronavigation system using augmented reality’, World Neurosurg., 2016, 87, pp. 399–405 (doi: 10.1016/j.wneu.2015.11.084).
  11. 11)
      • 11. Bieck, R., Franke, S., Neumuth, T., et al: ‘Computer-assisted neurosurgery: an interaction concept for a tablet-based surgical assistance system’. Conf.: 14th Annual Conf. the German Society of Computer and Robotic Assisted Surgery, Bremen, Germany, 2015.
  12. 12)
      • 12. Hou, Y., Ma, L., Zhu, R., et al: ‘A low-cost iPhone-assisted augmented reality solution for the localization of intracranial lesions’, PLoS ONE, 2016, 11, (7), pp. 1–18 (doi: 10.1371/journal.pone.0159185).
  13. 13)
      • 13. Müller, M., Rassweiler, M.-C., Klein, J., et al: ‘Mobile augmented reality for computer-assisted percutaneous nephrolithotomy’, Int. J. Comput. Assist. Radiol. Surg., 2013, 8, (4), pp. 663–675 (doi: 10.1007/s11548-013-0828-4).
  14. 14)
      • 14. Guha, D., Alotaibi, N.M., Nguyen, N., et al: ‘Augmentedreality in neurosurgery: a review of current concepts and emerging applications’, Can. J. Neurol. Sci., 2017, 44, (33), pp. 235–245 (doi: 10.1017/cjn.2016.443).
  15. 15)
      • 15. Tagaytayan, R., Kelemen, A., Sik-Lanyi, C.: ‘Augmented reality in neurosurgery’, Arch. Med. Sci., 2016, 12, (1), pp 1–11.
  16. 16)
      • 16. Meola, A., Cutolo, F., Carbone, M., et al: ‘Augmented reality in neurosurgery: a systematic review’, 2016.
  17. 17)
      • 17. Wachs, J.P.: ‘Gaze, posture and gesture recognition to minimize focus shifts for intelligent operating rooms in a collaborative support system’, Int. J. Comput. Commun. Control, 2010, 5, (1), pp. 106–124 (doi: 10.15837/ijccc.2010.1.2467).
  18. 18)
      • 18. Graydon, J., Eysenck, M.W.: ‘Distraction and cognitive performance’, Eur. J. Cogn. Psychol., 1989, 1, (2), pp. 161–179 (doi: 10.1080/09541448908403078).
  19. 19)
      • 19. Weerdesteyn, V., Schillings, A.M., Van Galen, G.P., et al: ‘Distraction affects the performance of obstacle avoidance during walking’, J. Mot. Behav., 2003, 35, (1), pp. 53–63 (doi: 10.1080/00222890309602121).
  20. 20)
      • 20. Goodell, K.H., Cao, C.G.L., Schwaitzberg, S.D.: ‘Effects of cognitive distraction on performance of laparoscopic surgical tasks’, J. Laparoendosc. Adv. Surg. Tech., 2006, 16, (2), pp. 94–98 (doi: 10.1089/lap.2006.16.94).
  21. 21)
      • 21. Tabrizi, L.B., Mahvash, M.: ‘Augmented reality–guided neurosurgery: accuracy and intraoperative application of an image projection technique’, J. Neurosurg., 2015, 123, (1), pp. 206–211 (doi: 10.3171/2014.9.JNS141001).
  22. 22)
      • 8. Drouin, S., Kochanowska, A., Kersten-Oertel, M., et al: ‘IBIS: an OR ready open-source platform for image-guided neurosurgery’, Int. J. Comput. Assist. Radiol. Surg., 2017, 12, (3), pp. 363–378 (doi: 10.1007/s11548-016-1478-0).
  23. 23)
      • 23. Zhang, Z.: ‘Flexible camera calibration by viewing a plane from unknown orientations’. The Proc. Seventh IEEE Int. Conf. Computer Vision, 1999, 1999, vol. 1, pp. 666–673.
  24. 24)
      • 24. Tokuda, J., Fischer, G.S., Papademetris, X., et al: ‘Openigtlink: an open network protocol for image-guided therapy environment’, Int. J. Med. Robot. Comput. Assist. Surg., 2009, 5, (4), pp. 423–434 (doi: 10.1002/rcs.274).
  25. 25)
      • 41. Hart, S., Staveland, J.: ‘Development of NASA-TLX (task load index): results of empirical and theoretical research’, Adv. Psychol., 1988, 52, pp. 139–183 (doi: 10.1016/S0166-4115(08)62386-9).