954 citations · 2k across the 32 of their papers we have counts for
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Ensuring convergence in total-variation-based reconstruction for accurate microcalcification imaging in breast X-ray CT
Jakob H. Jørgensen, Emil Y. Sidky, Xiaochuan Pan
Breast X-ray CT imaging is being considered in screening as an extension to mammography. As a large fraction of the population will be exposed to radiation, low-dose imaging is ess…
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…
Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT
Jakob H. Jørgensen, Emil Y. Sidky, Xiaochuan Pan
Iterative image reconstruction (IIR) with sparsity-exploiting methods, such as total variation (TV) minimization, investigated in compressive sensing (CS) claim potentially large 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…
Toward optimal X-ray flux utilization in breast CT
Jakob H. Joergensen, Per Christian Hansen, Emil Y. Sidky +2
A realistic computer-simulation of a breast computed tomography (CT) system and subject is constructed. The model is used to investigate the optimal number of views for the scan gi…
High resolution image reconstruction with constrained, total-variation minimization
Emil Y. Sidky, Rick Chartrand, Yuval Duchin +2
This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling…