Vessel Driven Correction of Brain Shift

  • Ingerid Reinertsen
  • Maxime Descoteaux
  • Simon Drouin
  • Kaleem Siddiqi
  • D. Louis Collins
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3217)


In this paper, we present a method for correction of brain shift based on segmentation and registration of blood vessels from pre-operative MR images and intraoperative Doppler ultrasound data. We segment the vascular tree from both MR and US images and use chamfer distance maps and a non-linear registration algorithm to estimate the deformation between the two datasets. The method has been tested in a series of simulation experiments, and in a phantom study. Preliminary results show that we are able to account for large portions of the non-linear deformations and that the technique is capable of estimating shifts when only a very limited region of the brain is covered by the ultrasound volume.


Phantom Study Thin Plate Spline Brain Shift Vessel Segmentation Brain Deformation 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ingerid Reinertsen
    • 1
  • Maxime Descoteaux
    • 2
  • Simon Drouin
    • 1
  • Kaleem Siddiqi
    • 2
  • D. Louis Collins
    • 1
  1. 1.Montreal Neurological InstituteMcGill UniversityMontréalCanada
  2. 2.Center for Intelligent MachinesMcGill UniversityMontréalCanada

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