954 citations · 2.1k across the 44 of their papers we have counts for
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A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields
Hari Om Aggrawal, Martin Skovgaard Andersen, Sean Rose +1
Classical methods for X-ray computed tomography are based on the assumption that the X-ray source intensity is known, but in practice, the intensity is measured and hence uncertain…
Empirical average-case relation between undersampling and sparsity in x-ray CT
Jakob S. Jørgensen, Emil Y. Sidky, Per Christian Hansen +1
In x-ray computed tomography (CT) it is generally acknowledged that reconstruction methods exploiting image sparsity allow reconstruction from a significantly reduced number of pro…
Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm
Emil Y. Sidky, Jakob H. Jørgensen, Xiaochuan Pan
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 r…
Accelerated gradient methods for total-variation-based CT image reconstruction
Jakob Heide Jørgensen, Tobias Lindstrøm Jensen, Per Christian Hansen +3
Total-variation (TV)-based Computed Tomography (CT) image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data. In part…