4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections

Zakeri, A., Hokmabadi, A., Nix, M.G. et al. (3 more authors) (2024) 4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections. Computer Methods and Programs in Biomedicine, 250. 108158. ISSN 0169-2607

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Item Type: Article
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© 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Learning-based spatio-temporal deformation estimation, Treatment imaging 4DCT reconstruction, Respiratory motion modelling, Digitally reconstructed radiographs, Probabilistic motion modelling, Recurrent variational Bayes
Dates:
  • Published: June 2024
  • Published (online): 4 April 2024
  • Accepted: 29 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Jun 2024 10:52
Last Modified: 20 Jun 2024 10:52
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.cmpb.2024.108158
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