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Analysis and Visualization of the Brain Shift Phenomenon in Neurosurgery

  • C. Lürig
  • P. Hastreiter
  • C. Nimsky
  • T. Ertl
Part of the Eurographics book series (EUROGRAPH)

Abstract

In this paper we present a method for analyzing the brain shift. The brain shift is a brain deformation phenomenon, that occurs during surgical operations on the opened head. This deformation makes navigation within the brain very difficult for the surgeon, as preoperative magnetic resonance images invalidate very quickly after the beginning of the operation. Up to now not enough is known about this deformation phenomenon in order to come up with solutions for corrective action. The aim of the tool which is presented here is to prepare ground for a better understanding by visualizing the deformation between two 3D brain data sets, where one has been taken preoperatively and the second one during the operation after the brain shift has occured. We propose a new method for the modeling of the deformation by means of efficient distance determination of two deformable surface approximations. Color coding and semi-transparent overlay of the surfaces provides qualitative and quantitative information about the brain shift. The provided insight may lead to a prediction method in future.

Keywords

Preoperative Magnetic Resonance Image Brain Surface Brain Shift Deformable Surface Procrustean Distance 
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. 1.
    P.J. Besl and N.D. MacKay. A Method for Registration of 3D Shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 239–256, 1992.Google Scholar
  2. 2.
    R. Bucholz, D. Yeh, J. Trobaugh, L. McDurmont, C. Sturm, C. Baumann, J. Hendersonand A. Levy, and P. Kessman. The Correction of Stereotactic Inaccuracy Caused by Brain Shift Using an Intraoperative ultrasound device. In Proc. CVRMedMR CAS, Lecture Notes in Computer Science, pages 459–466. Springer, 1997.Google Scholar
  3. 3.
    R. Fahlbusch, C. Nimsky, O. Ganslandt, R. Steinmeier, M. Buchfelder, and W. Huk. The erlangen concept of image guided surgery. In H. Lemke, M. Vannier, K. Inamura, and A. Farman, editors, CAR ‘88, pages 583–588. Amsterdam, Elsevier Science B.V, 1998.Google Scholar
  4. 4.
    D. Hill, C. Maurer, M. Wang, R. Maciunas, J. Barwise, and J. Fitzpatrick. Estimation of Intraoperative Brain Surface Movement. In Proc. CVRMed-MRCAS, Lecture Notes in Computer Science, pages 449–458. Springer, 1997.CrossRefGoogle Scholar
  5. 5.
    C. Lürig, L. Kobbelt, and T. Ertl. Deformable Surfaces for Feature Based Indirect Volume Rendering. In Nicholas M. Patrikalakis Franz-Erich Wolter, editor, Proceedings Computer Graphics International 1998, pages 752–760, 1998.Google Scholar
  6. 6.
    William H. Press, Saul A. Teukolsky, William T. Vetterling, and Flannery Brian P. Numerical Recipies in C. Cambridge University Press, 1982.Google Scholar
  7. 7.
    D. Terzopoulos. Regularization of Inverse Visual Problems Involving Discontinuities. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 413–424, 1986.Google Scholar

Copyright information

© Springer-Verlag/Wien 1999

Authors and Affiliations

  • C. Lürig
    • 1
  • P. Hastreiter
    • 1
  • C. Nimsky
    • 2
  • T. Ertl
    • 1
  1. 1.Computer Graphics GroupUniversity of Erlangen-NürnbergErlangenGermany
  2. 2.Department of NeurosurgeryUniversity of Erlangen-NürnbergErlangenGermany

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