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