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City Lyngby / / Company Ball / / Country Denmark / / / Event Product Issues / Product Recall / / Facility Technical University of Denmark / University of Chicago / / IndustryTerm linear imaging model / convergent algorithm / tomographic applications / algorithmic tool / inner product / continuous operator / iterative image reconstruction algorithms / image reconstruction algorithms / generic algorithm / primal-dual optimization algorithm / iterative algorithms / primal-dual algorithm / / Organization Technical University of Denmark / Department of Informatics and Mathematical Modeling / University of Chicago / U.S. Securities and Exchange Commission / Department of Radiology / / Person Convergence / Jakob H. Jørgensen / R UP / Richard Petersens / Eq / Emil Y. Sidky / Xiaochuan Pan / / / Position CT system model / projection model / and objective and constraint design / / Product Pentax K-x Digital Camera / .R / / ProgrammingLanguage L / / ProvinceOrState Alaska / Connecticut / / Technology CG algorithm / Chambolle-Pock algorithm / basic Chambolle-Pock algorithm / resulting algorithm / X-ray / NTRODUCTION Optimization-based image reconstruction algorithms / B. The CP algorithm / 4 Algorithm / primal-dual algorithm / tomography / 10 Algorithm / generic algorithm / convergent algorithm / CP algorithm / generic CP algorithm / 1 .R The CP algorithm / DR .R The CP algorithm / simulation / primal-dual optimization algorithm / iterative image reconstruction algorithms / / SocialTag 
Abstract The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm a