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Algorithms for joint activity-attenuation estimation from positron emission tomography scatter.

Yannick BerkerVolkmar SchulzJoel S Karp
Published in: EJNMMI physics (2019)
The performance of S2A algorithms depends on spatial scales. MLGA provides lower computational complexity and convergence in more diverse setups than MLEM-OSL. Finally, scattered data may provide additional information to joint estimation of activity and attenuation through S2A reconstruction.
Keyphrases
  • positron emission tomography
  • computed tomography
  • machine learning
  • deep learning
  • electronic health record
  • healthcare
  • artificial intelligence
  • data analysis