Title
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning.
Abstract
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