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Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data

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Computational Methods for Molecular Imaging

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 22))

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Abstract

In this paper we propose a unified framework for joint motion estimation/kinetic image reconstruction from gated dynamic PET data. The method is a generalisation of previous work to include gated data. The kinetic and motion parameters are estimated jointly by maximisation of the penalised likelihood. Kinetic parameters are estimated with an optimisation transfer approach, and the non-rigid motion is estimated with a quasi-Newton algorithm. Results on synthetic phantom data show that there is an advantage in jointly estimating motion and kinetics compared to pre-estimating the motion field for motion-compensated kinetic image reconstruction.

Alexandre Bousse and Jieqing Jiao are equally contributed to this work.

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Acknowledgments

This research was funded by UK EPSRC (EP/K005278/1) and supported by researchers at the National Institute for Health Research University College London Hospitals Biomedical Research Centre including its High Impact Initiative.

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Authors and Affiliations

  1. Institute of Nuclear Medicine, University College London, London, UK

    Alexandre Bousse, Kris Thielemans & Brian F. Hutton

  2. Centre for Medical Image Computing, University College London, London, UK

    Jieqing Jiao, Simon Arridge & Sébastien Ourselin

  3. Centre for Medical Imaging, University College London, London, UK

    David Atkinson

  4. Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia

    Brian F. Hutton

Authors
  1. Alexandre Bousse
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  2. Jieqing Jiao
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  3. Kris Thielemans
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  4. David Atkinson
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  5. Simon Arridge
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  6. Sébastien Ourselin
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  7. Brian F. Hutton
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Corresponding authors

Correspondence to Alexandre Bousse or Jieqing Jiao .

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Editors and Affiliations

  1. Siemens Medical Solutions, Knoxville, Tennessee, USA

    Fei Gao

  2. Department of Radiotherapy and Radiooncology, Technical University of Munich, München, Germany

    Kuangyu Shi

  3. GE Healthcare and University of Western Ontario, London, Ontario, Canada

    Shuo Li

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Bousse, A. et al. (2015). Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data. In: Gao, F., Shi, K., Li, S. (eds) Computational Methods for Molecular Imaging. Lecture Notes in Computational Vision and Biomechanics, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-18431-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-18431-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18430-2

  • Online ISBN: 978-3-319-18431-9

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