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International Conference on Computer Analysis of Images and Patterns

CAIP 1995: Computer Analysis of Images and Patterns pp 254–261Cite as

Dense non-rigid motion estimation in sequences of medical images using differential constraints

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

Abstract

We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is an energy-minimizing method; the energy is splitted into two terms, with one term matching differential singularities in the images, and the other constraining the regularity of the field. In order to reduce the computational time, we introduce an adaptive mesh the resolution of which depends on the value of the gradient intensity. We present experimental results on medical images.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, The Hebrew University, 91904, Jerusalem, Israel

    Serge Benayoun

  2. Epidaure Project, INRIA, B.P. 93, 06 902, Sophia Antipolis Cedex, France

    Nicholas Ayache

Authors
  1. Serge Benayoun
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  2. Nicholas Ayache
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Editor information

Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Benayoun, S., Ayache, N. (1995). Dense non-rigid motion estimation in sequences of medical images using differential constraints. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_304

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  • DOI: https://doi.org/10.1007/3-540-60268-2_304

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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