|
Publications
Journal articles
Submitted
Analyzing reconstruction artifacts from arbitrary incomplete X-ray CT data
L. Borg, J. Frikel, J. S. Jørgensen, and E. T. Quinto
Submitted, 2018.
Preprint available from https://arxiv.org/abs/1707.03055.
New software protocols for enabling laboratory based temporal CT
P. Gajjar, J. S. Jørgensen, J. R. A. Godinho, C. G. Johnson, A. Ramsey, and P. J. Withers
Submitted, 2018.
Published
Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography
D. Kazantsev, J. S. Jørgensen, M. S. Andersen, W. R. B. Lionheart, P. D. Lee, and P. J. Withers
Inverse Problems, 34, 6, 064011, 2018. Part of the Special Issue on Joint Reconstruction and Multi-Modality/Multi-Spectral Imaging.
Available from https://doi.org/10.1088/1361-6420/aaba86.
Reduction of variable-truncation artifacts from beam occlusion during in situ X-ray tomography
L. Borg, J. S. Jørgensen, J. Frikel, and J. Sporring
Measurement Science and Technology, 28, 124004, 2017. Part of the Special Feature on Advanced X-Ray Tomography.
Available from https://doi.org/10.1088/1361-6501/aa8c27.
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
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.
Popular
|