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Non-rigid image registration using mutual information

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Compstat 2006 - Proceedings in Computational Statistics

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Abstract

Robust intensity-based non-rigid image registration and its application for image-based morphometry and the characterization of shape variation and variability is an important research topic in medical image analysis. Recent research in the field has focused on extending the mutual information based registration criterion to non-rigid matching, which is complicated by the statistical nature of the criterion and by the local impact of the non-rigid deformation parameters. In this paper we describe the state of the art in the field and ongoing work within our own research group.

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Author information

Authors and Affiliations

  1. ESAT/PSI, Medical Image Computing, UZ Gasthuisberg, K.U.Leuven, Herestraat 49, 3000, Leuven, Belgium

    Frederik Maes, Emiliano D’Agostino, Dirk Loeckx, Jeroen Wouters, Dirk Vandermeulen & Paul Suetens

Authors
  1. Frederik Maes
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  2. Emiliano D’Agostino
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  3. Dirk Loeckx
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  4. Jeroen Wouters
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  5. Dirk Vandermeulen
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  6. Paul Suetens
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Editor information

Editors and Affiliations

  1. University of Rome “La Sapienza”, Piazzale Aldo Moro 5, 00185, Rome, Italy

    Alfredo Rizzi  & Maurizio Vichi  & 

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© 2006 Physica-Verlag Heidelberg

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Maes, F., D’Agostino, E., Loeckx, D., Wouters, J., Vandermeulen, D., Suetens, P. (2006). Non-rigid image registration using mutual information. In: Rizzi, A., Vichi, M. (eds) Compstat 2006 - Proceedings in Computational Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1709-6_8

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