Interaction-Based Registration Correction for Improved Augmented Reality Overlay in Neurosurgery

  • Simon DrouinEmail author
  • Marta Kersten-Oertel
  • D. Louis Collins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9365)


In image-guided neurosurgery the patient is registered with the reference of a tracking system and preoperative data before sterile draping. Due to several factors extensively reported in the literature, the accuracy of this registration can be much deteriorated after the initial phases of the surgery. In this paper, we present a simple method that allows the surgeon to correct the initial registration by tracing corresponding features in the real and virtual parts of an augmented reality view of the surgical field using a tracked pointer. Results of a preliminary study on a phantom yielded a target registration error of 4.06 ± 0.91 mm, which is comparable to results for initial landmark registration reported in the literature.


Root Mean Square Augmented Reality Iterative Close Point Virtual Image Preoperative Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Stieglitz, L.H., Fichtner, J., Andres, R., Schucht, P., Krähenbühl, A.-K., Raabe, A., Beck, J.: The silent loss of neuronavigation accuracy: a systematic retrospective analysis of factors influencing the mismatch of frameless stereotactic systems in cranial neurosurgery. Neurosurgery 72, 796–807 (2013)CrossRefGoogle Scholar
  2. 2.
    Nabavi, A., Black, P.M., Gering, D.T., Westin, C.F., Mehta, V., Pergolizzi, R.S., Ferrant, M., Warfield, S.K., Hata, N., Schwartz, R.B., Wells III, W.M., Kikinis, R., Jolesz, F.A.: Serial Intraoperative MR Imaging of Brain Shift. Neurosurgery 48, 787–798 (2001)Google Scholar
  3. 3.
    Reinertsen, I., Lindseth, F., Askeland, C., Iversen, D.H., Unsgård, G.: Intra-operative correction of brain-shift. Acta Neurochir. (Wien) 156, 1301–1310 (2014)CrossRefGoogle Scholar
  4. 4.
    Berkels, B., Cabrilo, I., Haller, S., Rumpf, M., Schaller, K.: Co-registration of intra-operative brain surface photographs and pre-operative MR images. Int. J. Comput. Assist. Radiol. Surg. 9, 387–400 (2014)CrossRefGoogle Scholar
  5. 5.
    Ji, S., Fan, X., Roberts, D.W., Hartov, A., Paulsen, K.D.: Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration. Med. Image Anal. 18, 1169–1183 (2014)CrossRefGoogle Scholar
  6. 6.
    Zhang, Z., Member, S.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330–1334 (2000)CrossRefGoogle Scholar
  7. 7.
    Dornaika, F., Horaud, R.: Simultaneous robot-world and hand-eye calibration. IEEE Trans. Robot. Autom. 14, 617–622 (1998)CrossRefGoogle Scholar
  8. 8.
    Lerotic, M., Chung, A.J., Mylonas, G., Yang, G.-Z.: Pq-space based non-photorealistic rendering for augmented reality. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 10, pp. 102–109 (2007)Google Scholar
  9. 9.
    Zhang, Z.: Iterative point matching for registration of free-form curves (1992)Google Scholar
  10. 10.
    Drouin, S., Kersten-Oertel, M., Chen, S.J.-S., Collins, D.: A realistic test and development environment for mixed reality in neurosurgery. In: Linte, C.A., Moore, J.T., Chen, E.C., Holmes III, D.R. (eds.) AE-CAI 2011. LNCS, vol. 7264, pp. 13–23. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  11. 11.
    Horn, B.K.P.: Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soc. Am. A: 4, 629 (1987)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Simon Drouin
    • 1
    Email author
  • Marta Kersten-Oertel
    • 1
  • D. Louis Collins
    • 1
  1. 1.Montreal Neurological InstituteMontréalCanada

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