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Modelling Tumour Growth Patterns with Non-Rigid Image Registration

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Advances in Medical Engineering

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 114))

Abstract

We present a registration-based approach to model growth of glioma tumours seen in serial magnetic resonance imaging. Two state-of-the-art intensity-based non-rigid registration methods are investigated for their ability to compensate for the mass effect of the tumour. Both methods perform well and volume change estimates correlate well with manual delineation. However the complex structural and functional changes in glioma cannot be fully resolved by intensity-based methods due to the profound changes in morphology and appearance associated with glioma progression.

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Author information

Authors and Affiliations

  1. Institute of Medical Engineering, University of Luebeck, 23538, Luebeck, Germany

    Andreas Mang & Thorsten M. Buzug

  2. Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, WC1E 6BT, UK

    Andreas Mang, William R. Crum, Oscar Camara, Julia A. Schnabel & David J. Hawkes

  3. Institute of Neuroradiology, Lysholm Department of Neuroradiology, University College London, London, WC1N 3BG, UK

    Gisele Brasil Caseiras, Hans R. Jäger & Tarek A. Yousry

Authors
  1. Andreas Mang
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  2. William R. Crum
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  3. Oscar Camara
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  4. Julia A. Schnabel
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  5. Gisele Brasil Caseiras
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  6. Thorsten M. Buzug
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  7. Hans R. Jäger
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  8. Tarek A. Yousry
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  9. David J. Hawkes
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Editor information

Editors and Affiliations

  1. Institute of Medical Engineering, University of Luebeck, Ratzeburger Allee 160, D-23538, Luebeck, Germany

    Thorsten M. Buzug

  2. Department of Mathematics and Technology, RheinAhrCampus Remagen, Germany

    Dietrich Holz , Jens Bongartz , Matthias Kohl-Bareis  & Ulrich Hartmann , ,  & 

  3. Central Institute for Electronics, Research Centre Juelich, Germany

    Simone Weber

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© 2007 Springer-Verlag Berlin Heidelberg

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Mang, A. et al. (2007). Modelling Tumour Growth Patterns with Non-Rigid Image Registration. In: Buzug, T.M., Holz, D., Bongartz, J., Kohl-Bareis, M., Hartmann, U., Weber, S. (eds) Advances in Medical Engineering. Springer Proceedings in Physics, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68764-1_23

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  • DOI: https://doi.org/10.1007/978-3-540-68764-1_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68763-4

  • Online ISBN: 978-3-540-68764-1

  • eBook Packages: EngineeringEngineering (R0)

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