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Free-Form Registration Using Mutual Information and Curvature Regularization

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Biomedical Image Registration (WBIR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2717))

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Abstract

In this paper we present a novel 3-D free-form non-rigid registration algorithm which combines the mutual information similarity measure with a particular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squared differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that applies the same similarity measure but with a viscous fluid regularizer.

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References

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Author information

Authors and Affiliations

  1. K.U.Leuven, Faculties of Medicine and Engineering, Medical Image Computing (Radiology – ESAT/PSI), UZ Gasthuisberg, Herestraat 49, B-3000, Leuven, Belgium

    E. D’Agostino, F. Maes, D. Vandermeulen & P. Suetens

  2. Institut für Mathematik, Universität Lübeck, Wallstraße 40, 23560, Lübeck, Germany

    J. Modersitzki & B. Fischer

Authors
  1. E. D’Agostino
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  2. J. Modersitzki
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  3. F. Maes
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  4. D. Vandermeulen
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  5. B. Fischer
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  6. P. Suetens
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Editor information

Editors and Affiliations

  1. Departments of Radiology, University of Pennsylvania,  

    James C. Gee

  2. Department of Computer Science, Utrecht University, PO Box 80089, NL-3508TB, Utrecht, The Netherlands

    J. B. Antoine Maintz

  3. Department of Radiology, University of Chicago,  

    Michael W. Vannier

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© 2003 Springer-Verlag Berlin Heidelberg

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D’Agostino, E., Modersitzki, J., Maes, F., Vandermeulen, D., Fischer, B., Suetens, P. (2003). Free-Form Registration Using Mutual Information and Curvature Regularization. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_2

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  • DOI: https://doi.org/10.1007/978-3-540-39701-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20343-8

  • Online ISBN: 978-3-540-39701-4

  • eBook Packages: Springer Book Archive

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