Publications

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2022
A. Presenti, 3D X-ray radiography-based inspection of manufactured objects, 2022.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F, San Diego, CA, United States, 2022.
J. Merckx, van Lith, B., Sijbers, J., and De Beenhouwer, J., Adaptive triangular mesh for phase contrast imaging, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
V. Nguyen, Advances in biplanar X-ray imaging: calibration and 2D/3D registration, 2022.PDF icon Download PhD thesis (8.02 MB)
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Alternative grating designs for cone-beam edge illumination X-ray phase contrast imaging, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, vol. 12242, p. 122420Z.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., Analytic derivatives of scaling motion-compensated projection operators for dynamic computed tomography, in e-Journal of Nondestructive Testing, 2022, vol. 27 (3), pp. 1-5.
J. Sanctorum, Six, N., Sijbers, J., and De Beenhouwer, J., Augmenting a conventional X-ray scanner with edge illumination based phase contrast imaging: how to design the gratings?, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, p. 1224218.PDF icon Download paper (303.24 KB)
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.
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)
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.
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., CNN-based pose estimation from a single X-ray projection for 3D inspection of manufactured objects, in 11th Conference on Industrial Computed Tomography, 2022.
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)
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)
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., Edge Illumination Phase Contrast Simulations Using the OptiX GPU Ray Tracing Engine, 5th International Conference on Tomography of Materials & Structures (ICTMS). 2022.
P. Paramonov, Renders, J., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., Efficient X-ray projection of triangular meshes based on ray tracing and rasterization, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420W .PDF icon Download paper (1.72 MB)
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.PDF icon Download paper (protected) (1.79 MB)
B. Huyge, Jeurissen, B., De Beenhouwer, J., and Sijbers, J., Fiber orientation estimation by constrained spherical deconvolution of the anisotropic edge illumination x-ray dark field signal, in SPIE: Developments in X-Ray Tomography XIV, 2022, vol. 12242, p. 122420V .PDF icon Download paper (956.82 KB)
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., Joint reconstruction of attenuation, refraction and dark field X-ray phase contrasts using split Barzilai-Borwein steps, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420O.
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Optimization of a multi-source rectangular X-ray CT geometry for inline inspection, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 1224219 .
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Probability of Detection applied to X-ray inspection using numerical simulations, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Sparse view rectangular X-ray CT for cargo inspection using the ASTRA toolbox, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
Y. Huybrechts, De Ridder, R., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Schepers, D., De Beenhouwer, J., Sijbers, J., Forlino, A., Coucke, P., P. Witten, E., Kwon, R., Willaert, A., Hendrickx, G., and Van Hul, W., The sqstm1tmΔUBA zebrafish model, a proof-of-concept in vivo model for Paget’s disease of bone?, Bone Reports, vol. 16, no. 101483, pp. 75-76, 2022.
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Virtual grating approach for Monte Carlo simulations of edge illumination-based x-ray phase contrast imaging, Optics Express, vol. 31, no. 21, pp. 38695-38708, 2022.PDF icon Download paper (2.95 MB)

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