A harmonic-mean preconditioner that combines data-fidelity and prior Hessian information makes subset-based PET reconstruction with the relative difference prior converge faster and more reliably.
A concave prior penalizing relative differences for maximum-a-posteriori reconstruction in emission tomography.IEEE Transactions on nuclear science , 49(1):56–60, 2002
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
physics.med-ph 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Fast PET Reconstruction with Variance Reduction and Prior-Aware Preconditioning
A harmonic-mean preconditioner that combines data-fidelity and prior Hessian information makes subset-based PET reconstruction with the relative difference prior converge faster and more reliably.