Title | ||
---|---|---|
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. |
Abstract | ||
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This paper reports on the feasibility of using a quasi-Newton optimization algorithm, limited-memory Broyden-Fletcher-Goldfarb-Shanno with boundary constraints (L-BFGS-B), for penalized image reconstruction problems in emission tomography (ET). For further acceleration, an additional preconditioning technique based on a diagonal approximation of the Hessian was introduced. The convergence rate of ... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TMI.2017.2786865 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,Convergence,Approximation algorithms,Optimization,Linear programming,Tomography,Maximum likelihood estimation | Convergence (routing),Iterative reconstruction,Approximation algorithm,Algorithm,Hessian matrix,Tomography,Acceleration,Rate of convergence,Linear programming,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 4 | 0278-0062 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yu-Jung Tsai | 1 | 2 | 0.36 |
Alexandre Bousse | 2 | 8 | 2.96 |
Matthias Joachim Ehrhardt | 3 | 41 | 4.95 |
Charles W. Stearns | 4 | 2 | 0.70 |
Sangtae Ahn | 5 | 63 | 9.69 |
Brian F. Hutton | 6 | 98 | 14.33 |
Simon R Arridge | 7 | 58 | 3.30 |
Kris Thielemans | 8 | 3 | 3.43 |