Publications

Journal articles

Submitted

  • AIR Tools II: Algebraic iterative reconstruction methods, improved implementation
    P. C. Hansen and J. S. Jørgensen

To appear

  • Reduction of variable-truncation artifacts from beam occlusion during in situ X-ray tomography
    L. Borg, J. S. Jørgensen, J. Frikel, and J. Sporring
    Accepted for publication in Measurement Science and Technology, Special Feature on Advanced X-Ray Tomography.
    Accepted manuscript available from https://doi.org/10.1088/1361-6501/aa8c27.

Published

  • Automated angular and translational tomographic alignment and application to phase-contrast imaging
    T. Ramos, J. S. Jørgensen, and J. W. Andreasen
    Journal of the Optical Society of America A, 34, pp. 1830–1843, 2017.
    Available from https://doi.org/10.1364/JOSAA.34.001830

  • Noise robustness of a combined phase retrieval and reconstruction method for phase-contrast tomography
    R. D. Kongskov, J. S. Jørgensen, H. F. Poulsen, and P. C. Hansen
    Journal of the Optical Society of America A, 33, pp. 447–454, 2016.
    Available from http://dx.doi.org/10.1364/JOSAA.33.000447

  • Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized X-ray CT
    J. S. Jørgensen, C. Kruschel, and D. A. Lorenz
    Inverse Problems in Science and Engineering, 23, pp. 1283–1305, 2015.
    Available (Open Access) from http://dx.doi.org/10.1080/17415977.2014.986724

  • Empirical average-case relation between undersampling and sparsity in X-ray CT
    J. S. Jørgensen, E. Y. Sidky, P. C. Hansen, and X. Pan
    Inverse Problems and Imaging, 9, pp. 431–446, 2015.
    Available (Open Access) from http://dx.doi.org/10.3934/ipi.2015.9.431

  • Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT
    J. S. Jørgensen, E. Y. Sidky, and X. Pan
    IEEE Transactions on Medical Imaging, 32, pp. 460–473, 2013.
    Available from http://dx.doi.org/10.1109/TMI.2012.2230185

  • Few-view single photon emission computed tomography (SPECT) reconstruction based on a blurred piecewise constant object model
    P. A. Wolf, J. S. Jørgensen, T. G. Schmidt, and E. Y Sidky
    Physics in Medicine and Biology, 58, pp. 5629–5652, 2013.
    Available from http://dx.doi.org/10.1088/0031-9155/58/16/5629

  • First-order convex feasibility algorithms for x-ray CT
    E. Y. Sidky, J. S. Jørgensen, and X. Pan
    Medical Physics, 40, p. 031115, 2013.
    Available from http://dx.doi.org/10.1118/1.4790698

  • Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm
    E. Y. Sidky, J. H. Jørgensen, and X. Pan
    Physics in Medicine and Biology, 57, pp. 3065–3091, 2012.
    Available from http://dx.doi.org/10.1088/0031-9155/57/10/3065

  • Implementation of an optimal first-order method for strongly convex total variation regularization
    T. L. Jensen, J. H. Jørgensen, P. C. Hansen, and S. H. Jensen
    BIT Numerical Mathematics, 52, pp. 329–356, 2012.
    Available from http://dx.doi.org/10.1007/s10543-011-0359-8

Conference proceedings

Published/presented

  • Effect of sparsity and exposure on total variation regularized X-ray tomography from few projections
    J. S. Jørgensen, S. B. Coban, W. R. B. Lionheart, and P. J. Withers
    In Proceedings of the 4th International Conference on Image Formation in X-Ray Computed Tomography, pp. 279–282, Bamberg, Germany, 2016.

  • Connecting image sparsity and sampling in iterative reconstruction for limited angle X-ray CT
    J. S. Jørgensen, E. Y. Sidky, and X. Pan
    In Proceedings of the 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 169–172, Lake Tahoe, CA, United States, 2013.

  • Nonconvex optimization for improved exploitation of gradient sparsity in CT image reconstruction
    E. Y. Sidky, R. Chartrand, J. S. Jørgensen, and X. Pan
    In Proceedings of the 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 189–192, Lake Tahoe, CA, United States, 2013.

  • Toward quantifying admissible undersampling of sparsity-exploiting iterative image reconstruction for X-ray CT
    J. H. Jørgensen, E. Y. Sidky, and X. Pan
    In Proceedings of The Second International Conference on Image Formation in X-Ray Computed Tomography pp. 161–164, Salt Lake City, UT, United States, 2012.

  • Convex optimization prototyping for iterative image reconstruction in X-ray CT
    E. Y. Sidky, J. H. Jørgensen, and X. Pan
    In Proceedings of The Second International Conference on Image Formation in X-Ray Computed Tomography, pp. 343–347, Salt Lake City, UT, United States, 2012.

  • Sampling conditions for gradient-magnitude sparsity based image reconstruction algorithms
    E. Y. Sidky, J. H. Jørgensen, and X. Pan
    In N. J. Pelc, R. J. Nishikawa, and B. R. Whiting, editors, Medical Imaging 2012: Physics of Medical Imaging, Proceedings of SPIE, 8313, p. 831337, San Diego, CA, United States, 2012.

  • Characterizing a discrete-to-discrete X-ray transform for iterative image reconstruction with limited angular-range scanning in CT
    E. Y. Sidky, J. H. Jørgensen, and X. Pan
    In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE, pp. 3387–3389, Anaheim, CA, United States, 2012.
    Available from http://dx.doi.org/10.1109/NSSMIC.2012.6551771

  • Convergence of iterative image reconstruction algorithms for digital breast tomosynthesis
    E. Y. Sidky, J. H. Jørgensen, and X. Pan
    In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE, pp. 3394–3396, Anaheim, CA, United States, 2012.
    Available from http://dx.doi.org/10.1109/NSSMIC.2012.6551773

  • A first-order primal-dual reconstruction algorithm for few-view SPECT
    P. Wolf, J. H. Jørgensen, T. Gilat-Schmidt, and E. Y. Sidky
    In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE, pp. 2381–2385, Anaheim, CA, United States, 2012.
    Available from http://dx.doi.org/10.1109/NSSMIC.2012.6551542

  • Ensuring convergence in total-variation-based reconstruction for accurate microcalcification imaging in breast X-ray CT
    J. H. Jørgensen, E. Y. Sidky, and X. Pan
    In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE, pp. 2640–2643, Valencia, Spain, 2011.

  • Total variation and tomographic imaging from projections
    P. C. Hansen and J. H. Jørgensen
    In Proceedings of WSC 2011, Conference of the Dutch-Flemish Numerical Analysis Communities, Woudschouten (Invited conference contribution), pp. 44–51, Zeist, The Netherlands, 2011.

  • Accelerated gradient methods for total-variation-based CT image reconstruction
    J. H. Jørgensen, T. L. Jensen, P. C. Hansen, S. H. Jensen, E. Y. Sidky, and X. Pan
    In Proceedings of the 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 435–438, Potsdam, Germany, 2011.
    Available from http://arxiv.org/abs/1105.4002

  • Toward optimal X-ray flux utilization in breast CT
    J. H. Jørgensen, P. C. Hansen, E. Y. Sidky, I. S. Reiser, and X. Pan
    In Proceedings of the 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 359–362, Potsdam, Germany, 2011.
    Available from http://arxiv.org/abs/1104.1588

  • Reliable small-object reconstruction from sparse views in X-ray computed tomography
    J. H. Jørgensen, E. Y. Sidky, and X. Pan
    In Proceedings of the 4th Workshop on Signal Processing with Adaptive Sparse Structured Representations, Edinburgh, Scotland, United Kingdom, 2011.

Theses

  • See PhD, MSc and BSc theses here.

Books

Technical reports

  • The use of deconvolution in the analysis of impedance spectroscopy data
    J. H. Jørgensen
    Internal report BC-959, Fuel Cells and Solid State Chemistry Division, Risø DTU National Laboratory for Sustainable Energy, 2008.

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