Nature Communications (Oct 2022)

Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction

  • Rui Guo,
  • Song Xue,
  • Jiaxi Hu,
  • Hasan Sari,
  • Clemens Mingels,
  • Konstantinos Zeimpekis,
  • George Prenosil,
  • Yue Wang,
  • Yu Zhang,
  • Marco Viscione,
  • Raphael Sznitman,
  • Axel Rominger,
  • Biao Li,
  • Kuangyu Shi

DOI
https://doi.org/10.1038/s41467-022-33562-9
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Deep learning-based methods have been proposed to substitute CT-based PET attenuation and scatter correction to achieve CT-free PET imaging. Here, the authors present a simple way to integrate domain knowledge in deep learning for CT-free PET imaging.