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Scientific article
English

Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network

Published inEuropean Journal of Nuclear Medicine and Molecular Imaging, vol. 47, no. 11, p. 2533-2548
Publication date2020
Abstract

We demonstrate the feasibility of direct generation of attenuation and scatter-corrected images from uncorrected images (PET-nonASC) using deep residual networks in whole-body 18F-FDG PET imaging.

Keywords
  • Attenuation correction
  • Deep learning
  • PET/CT
  • Scatter correction
  • Whole-body
NoteMettre à jour le pdf:https://www.hug.ch/sites/interhug/files/structures/pinlab/documents/ejnmmi2020.pdf
Citation (ISO format)
SHIRI LORD, Isaac et al. Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network. In: European Journal of Nuclear Medicine and Molecular Imaging, 2020, vol. 47, n° 11, p. 2533–2548. doi: 10.1007/s00259-020-04852-5
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Identifiers
ISSN of the journal1619-7070
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Technical informations

Creation05/16/2020 2:12:00 PM
First validation05/16/2020 2:12:00 PM
Update time03/15/2023 10:05:01 PM
Status update03/15/2023 10:05:00 PM
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