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Registration of 3-D Surface Data for Intra-Operative Guidance and Visualization in Frameless Stereotactic Neurosurgery

  • Christopher J. Henri
  • Alan C. F. Colchester
  • Jason Zhao
  • David J. Hawkes
  • Derek L. G. Hill
  • Richard L. Evans
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 905)

Abstract

We describe a technique for registering 3-D multimodal image data, acquired preoperatively, with intraoperative surface data derived from stereo video during neurosurgery. Ultimately, our aim is to provide a system that supplants traditional frame-based stereotactic techniques while achieving comparable accuracy. For registration we employ chamfer-matching in conjunction with a cost function that is robust to ‘outliers’. To balance robustness and computation speed, we employ a quasi-stochastic search of parameter space that includes pursuing multiple start points. This paper describes the registration problem as it pertains to our application. We discuss our approach to optimization and carry out a computational evaluation of the technique under various conditions.

Keywords

Robust Estimator Initial Registration Registration Problem Cranial Window Stereo Video 
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 1995

Authors and Affiliations

  • Christopher J. Henri
    • 1
  • Alan C. F. Colchester
    • 1
  • Jason Zhao
    • 1
  • David J. Hawkes
    • 2
  • Derek L. G. Hill
    • 2
  • Richard L. Evans
    • 3
  1. 1.Department of NeurologyUMDS Guy’s HospitalLondonUK
  2. 2.Division of Radiological SciencesUMDS Guy’s HospitalLondonUK
  3. 3.Roke Manor Research LtdHantsEngland

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