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Anatomical and Electrophysiological Validation of an Atlas for Neurosurgical Planning

  • M. Mallar Chakravarty
  • Abbas F. Sadikot
  • Jurgen Germann
  • Gilles Bertrand
  • D. Louis Collins
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3750)

Abstract

Digital brain atlases can be used in conjunction with magnetic resonance imaging (MRI) and computed tomography (CT) for planning and guidance during neurosurgery. Digital atlases are advantageous, since they can be warped nonlinearly to fit each patient’s unique anatomy.

Two atlas-to-patient warping techniques are compared in this paper. The first technique uses an MRI template as an intermediary to estimate a nonlinear atlas-to-patient transformation. The second, is novel, and uses a pseudo-MRI volume, derived from the voxel-label-atlas, to estimate the atlas-to-patient transformation directly. Manual segmentations and functional data are used to validate the two methods.

Keywords

Globus Pallidus Nonlinear Transformation Kappa Score Digital Atlas Warping Technique 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. Mallar Chakravarty
    • 1
  • Abbas F. Sadikot
    • 1
    • 2
  • Jurgen Germann
    • 1
  • Gilles Bertrand
    • 1
    • 2
  • D. Louis Collins
    • 1
  1. 1.McConnell Brain Imaging CentreMontreal Neurological InstituteMontrealCanada
  2. 2.Division of NeurosurgeryMontreal Neurological InstituteMontrealCanada

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