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

Part of the Lecture Notes in Computer Science book series (LNIP,volume 9365)

Abstract

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.

Keywords

  • 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.

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References

  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)

    CrossRef  Google Scholar 

  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. Reinertsen, I., Lindseth, F., Askeland, C., Iversen, D.H., Unsgård, G.: Intra-operative correction of brain-shift. Acta Neurochir. (Wien) 156, 1301–1310 (2014)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  6. Zhang, Z., Member, S.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330–1334 (2000)

    CrossRef  Google Scholar 

  7. Dornaika, F., Horaud, R.: Simultaneous robot-world and hand-eye calibration. IEEE Trans. Robot. Autom. 14, 617–622 (1998)

    CrossRef  Google Scholar 

  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. Zhang, Z.: Iterative point matching for registration of free-form curves (1992)

    Google Scholar 

  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)

    CrossRef  Google Scholar 

  11. Horn, B.K.P.: Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soc. Am. A: 4, 629 (1987)

    CrossRef  Google Scholar 

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Correspondence to Simon Drouin .

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Drouin, S., Kersten-Oertel, M., Louis Collins, D. (2015). Interaction-Based Registration Correction for Improved Augmented Reality Overlay in Neurosurgery. In: Linte, C., Yaniv, Z., Fallavollita, P. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2015. Lecture Notes in Computer Science(), vol 9365. Springer, Cham. https://doi.org/10.1007/978-3-319-24601-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-24601-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24600-0

  • Online ISBN: 978-3-319-24601-7

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