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Image Registration of Structural and Physiological MR Images of Abnormal Anatomy

  • Andreas Mang
  • Oscar Camara
  • Gisele Brasil Caseiras
  • William R. Crum
  • Julia A. Schnabel
  • Thorsten M. Buzug
  • John Thornton
  • H. Rolf Jäger
  • David J. Hawkes
Part of the Springer Proceedings in Physics book series (SPPHY, volume 114)

Abstract

This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.

Keywords

Apparent Diffusion Coefficient Normalize Mutual Information Medical Engineer Perfusion Weighted Image Brain Glioma 
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 2007

Authors and Affiliations

  • Andreas Mang
    • 1
    • 2
  • Oscar Camara
    • 2
  • Gisele Brasil Caseiras
    • 3
  • William R. Crum
    • 2
  • Julia A. Schnabel
    • 2
  • Thorsten M. Buzug
    • 1
  • John Thornton
    • 3
  • H. Rolf Jäger
    • 3
  • David J. Hawkes
    • 2
  1. 1.Institute of Medical EngineeringUniversity of LuebeckLuebeckGermany
  2. 2.Center for Medical Image Computing, Department of Medical Physics and BioengineeringUniversity College LondonLondonUK
  3. 3.Institute of Neuroradiology, Lysholm Department of NeuroradiologyUniversity College LondonLondonUK

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