Publications

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Journal Article
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., Efficient iterative reconstruction with beam shape compensation for THz computed tomography, Applied Optics, vol. 62, no. 17, pp. F31-F40, 2023.PDF icon Download paper (1.81 MB)
N. Francken, Sanctorum, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., Edge illumination x-ray phase contrast simulations using the CAD-ASTRA toolbox, Optics Express, vol. 32, no. 6, pp. 10005-10021, 2024.
V. Van Nieuwenhove, De Beenhouwer, J., De Carlo, F., Mancini, L., Marone, F., and Sijbers, J., Dynamic intensity normalization using eigen flat fields in X-ray imaging, Optics Express, vol. 23, no. 21, pp. 27975-27989, 2015.Package icon Download Matlab code (2.92 MB)PDF icon Download paper (1.68 MB)
A. Presenti, Sijbers, J., and De Beenhouwer, J., Dynamic few-view X-ray imaging for inspection of CAD-based objects, Expert Systems with Applications, vol. 180, p. 115012, 2021.
J. Christopher, Lumbeeck, L. - P., Paramonov, P., De Beenhouwer, J., and Sijbers, J., Discrete Terahertz tomography: a simulation study, e-Journal of Nondestructive Testing, vol. 27, no. 3, 2022.PDF icon Download paper (345.5 KB)
V. Van Nieuwenhove, De Beenhouwer, J., De Schryver, T., Van Hoorebeke, L., and Sijbers, J., Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography, IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1441-1451, 2017.
T. Elberfeld, Fröhler, B., Heinzl, C., Sijbers, J., and De Beenhouwer, J., cuPARE: Parametric Reconstruction of Curved Fibres from Glass fibre-reinforced Composites, Nondestructive Testing and Evaluation, 2022.PDF icon Download paper (9.66 MB)
P. Paramonov, Francken, N., Renders, J., Iuso, D., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., CAD-ASTRA: A versatile and efficient mesh projector for X-ray tomography with the ASTRA-toolbox, Optics Express, vol. 32, no. 3, pp. 3425-3439, 2024.PDF icon Download paper (11.29 MB)
Y. - T. Ling, Cools, S., Bogdanowicz, J., Fleischmann, C., De Beenhouwer, J., Sijbers, J., and Vandervorst, W., A Bottom-Up Volume Reconstruction Method for Atom Probe Tomography, Microscopy and Microanalysis, vol. 28, no. 4, pp. 1-14, 2022.
V. Nguyen, Alves Pereira, L. F., Liang, Z., Mielke, F., Van Houtte, J., Sijbers, J., and De Beenhouwer, J., Automatic landmark detection and mapping for 2D/3D registration with BoneNet, Frontiers Veterinary Science, 2022.PDF icon Download paper (2.51 MB)
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., Automatic anomaly detection from X-ray images based on autoencoder, Nondestructive Testing and Evaluation, vol. 37, no. 5, 2022.
W. Van Aarle, Palenstijn, W. J., De Beenhouwer, J., Altantzis, T., Bals, S., Batenburg, K. J., and Sijbers, J., The ASTRA Toolbox: a platform for advanced algorithm development in electron tomography, Ultramicroscopy, vol. 157, pp. 35–47, 2015.PDF icon Download paper (3.47 MB)
B. Fröhler, Elberfeld, T., Möller, T., Hege, H. - C., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres, Nondestructive Testing and Evaluation, vol. 35, no. 3, pp. 328-341, 2020.
F. Bleichrodt, De Beenhouwer, J., Sijbers, J., and Batenburg, K. J., Aligning Projection Images from Binary Volumes, Fundamenta Informaticae, vol. 135, pp. 1-22, 2014.
J. Renders, Sijbers, J., and De Beenhouwer, J., Adjoint image warping using multivariate splines with application to 4D-CT, Medical Physics, vol. 48, no. 10, pp. 6362-6374, 2021.PDF icon Download paper (6.28 MB)
B. Huyge, Vanthienen, P. - J., Six, N., Sijbers, J., and De Beenhouwer, J., Adapting an XCT-scanner to enable edge illumination X-ray phase contrast imaging, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.
R. Heylen, Thanki, A., Verhees, D., Iuso, D., De Beenhouwer, J., Sijbers, J., Witvrouw, A., Haitjema, H., and Bey-Temsamani, A., 3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts, Measurement Science and Technology, vol. 33, no. 4, pp. 1-12, 2022.
Conference Paper
J. Sanctorum, De Beenhouwer, J., and Sijbers, J., X-ray Phase-contrast Simulations of Fibrous Phantoms using GATE, in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Sydney, Australia, 2018.PDF icon Download poster (884.48 KB)
B. Fröhler, Melo, Lda Cunha, Weissenböck, J., Kastner, J., Möller, T., Hege, H. - C., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., and Heinzl, C., Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.07 MB)
D. Frenkel, De Beenhouwer, J., and Sijbers, J., Tabu-DART: an dynamic update strategy for the Discrete Algebraic Reconstruction Technique based on Tabu-search, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
P. Paramonov, Lumbeeck, L. - P., Sijbers, J., and De Beenhouwer, J., A study of terahertz beam simulation with ray tracing for computed tomography, in 2021 OSA Imaging and Applied Optics Congress, 2021.
L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., Sparse-view Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks, in IEEE International Symposium on Biomedical Imaging (ISBI), 2023, pp. 880-884.
J. Sanctorum, De Beenhouwer, J., Weissenböck, J., Heinzl, C., Kastner, J., and Sijbers, J., Simulated grating-based x-ray phase contrast images of CFRP-like objects, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019, pp. 1-8.PDF icon Download paper (706.73 KB)
S. Bazrafkan, Van Nieuwenhove, V., Soons, J., De Beenhouwer, J., and Sijbers, J., Ringing Artefact Removal From Sparse View Tomosynthesis using Deep Neural Networks, in The 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 380-383.PDF icon Download paper (570.79 KB)
M. Nauwynck, Bazrafkan, S., Van Heteren, A., De Beenhouwer, J., and Sijbers, J., Ring Artifact Reduction in Sinogram Space Using Deep Learning, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (2.49 MB)

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