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math.OC2026
Efficient primal-dual algorithm for imaging applications with matrix stacking, applied to DBT image reconstruction
Emil Y. Sidky, John Paul Phillips, Zheng Zhang +3
The primal-dual hybrid gradient (PDHG) algorithm for solving convex optimization problems that arise in tomographic imaging is revisited. In particular, simplification of the selec…
math.OC2026
Accelerating Low-Frequency Convergence for Limited-Angle DBT via Two-Channel Fidelity in PDHG
Taro Iyadomi, Ricardo Parada, Anna Kim +3
Reconstruction in limited-angle digital breast tomosynthesis (DBT) suffers from slow convergence of low spatial-frequency components when using weighted data-fidelity terms within…
math.OC2026
Notes on the primal-dual algorithm for convex optimization applied to X-ray tomographic image reconstruction
Emil Y. Sidky, Xiaochuan Pan
The purpose of these notes is to provide background on understanding the primal-dual algorithm of Chambolle and Pock [1] for imaging scientists. The presentation focuses on providi…