Advertisement

Intra-Operative Registration for Stereotactic Procedures Driven by a Combined Biomechanical Brain and CSF Model

  • Alexandre Bilger
  • Éric Bardinet
  • Sara Fernandez-Vidal
  • Christian Duriez
  • Pierre Jannin
  • Stéphane Cotin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8789)

Abstract

During stereotactic neurosurgery, the brain shift could affect the accuracy of the procedure. However, this deformation of the brain is not often considered in the pre-operative planning step or intra-operatively, and may lead to surgical complications, side effects or ineffectiveness. In this paper, we present a method to update the pre-operative planning based on a physical simulation of the brain shift. Because the simulation requires unknown input parameters, the method relies on a parameter estimation process to compute the intracranial state that matches the partial data taken from intra-operative modalities. The simulation is based on a biomechanical model of the brain and the cerebro-spinal fluid. In this paper, we show on an anatomical atlas that the method is numerically sound.

Keywords

Deep Brain Stimulation Brain Shift Anatomical Atlas Parameter Estimation Process Stereotactic Procedure 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Audette, M.A., Siddiqi, K., Ferrie, F.P., Peters, T.M.: An integrated range-sensing, segmentation and registration framework for the characterization of intra-surgical brain deformations in image-guided surgery. Computer Vision and Image Understanding 89(2-3), 226–251 (2003)CrossRefGoogle Scholar
  2. 2.
    Bilger, A., Duriez, C., Cotin, S.: Computation and visualization of risk assessment in deep brain stimulation planning. Studies in Health Technology and Informatics 196, 29–35 (2014)Google Scholar
  3. 3.
    Chen, I., Coffey, A.M., Ding, S., Dumpuri, P., Dawant, B.M., Thompson, R.C., Miga, M.I.: Intraoperative brain shift compensation: accounting for dural septa. IEEE Transactions on Bio-medical Engineering 58(3), 499–508 (2011)CrossRefGoogle Scholar
  4. 4.
    Elias, W.J., Fu, K.M., Frysinger, R.C.: Cortical and subcortical brain shift during stereotactic procedures. Journal of Neurosurgery 107(5), 983–988 (2007)CrossRefGoogle Scholar
  5. 5.
    Felippa, C., Haugen, B.: A unified formulation of small-strain corotational finite elements: I. Theory. Computer Methods in Applied Mechanics and Engineering 194(21-24), 2285–2335 (2005)CrossRefzbMATHGoogle Scholar
  6. 6.
    Ferrant, M., Nabavi, A., Macq, B., Black, P.M., Jolesz, F.A., Kikinis, R., Warfield, S.K.: Serial registration of intraoperative MR images of the brain. Medical Image Analysis 6(4), 337–359 (2002)CrossRefGoogle Scholar
  7. 7.
    Sellier, M.: An iterative method for the inverse elasto-static problem. Journal of Fluids and Structures 27(8), 1461–1470 (2011)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Skrinjar, O., Nabavi, A., Duncan, J.: Model-driven brain shift compensation. Medical Image Analysis 6(4), 361–373 (2002)CrossRefGoogle Scholar
  9. 9.
    Slotty, P.J., Kamp, M.A., Wille, C., Kinfe, T.M., Steiger, H.J., Vesper, J.: The impact of brain shift in deep brain stimulation surgery: observation and obviation. Acta Neurochirurgica (August 2012)Google Scholar
  10. 10.
    Wittek, A., Miller, K., Kikinis, R., Warfield, S.K.: Patient-specific model of brain deformation: application to medical image registration. Journal of Biomechanics 40(4), 919–929 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexandre Bilger
    • 1
  • Éric Bardinet
    • 2
  • Sara Fernandez-Vidal
    • 2
  • Christian Duriez
    • 1
  • Pierre Jannin
    • 3
  • Stéphane Cotin
    • 1
  1. 1.Inria Lille, Nord Europe Research CentreFrance
  2. 2.Centre de Recherche de l’Institut du Cerveau et de la Moelle épiniere, UMR-S975, Paris, InsermFrance
  3. 3.Equipe Medicis, U1099 LTSIUniversité Rennes IFrance

Personalised recommendations