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Multi-modal Image Registration Using Polynomial Expansion and Mutual Information

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 7359)

Abstract

The use of polynomial expansion in image registration has previously been shown to be beneficial due to fast convergence and high accuracy. However, earlier work has only been for mono-modal image registration. In this work, it is shown how polynomial expansion and mutual information can be linked to achieve multi-modal image registration. The proposed method is evaluated using MRI data and shown to have a satisfactory accuracy while not increasing the computation time significantly.

Keywords

  • Mutual Information
  • Image Registration
  • Shannon Entropy
  • Conditional Entropy
  • Polynomial Expansion

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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© 2012 Springer-Verlag Berlin Heidelberg

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Forsberg, D., Farnebäck, G., Knutsson, H., Westin, CF. (2012). Multi-modal Image Registration Using Polynomial Expansion and Mutual Information. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds) Biomedical Image Registration. WBIR 2012. Lecture Notes in Computer Science, vol 7359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31340-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-31340-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31339-4

  • Online ISBN: 978-3-642-31340-0

  • eBook Packages: Computer ScienceComputer Science (R0)