Publications

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Journal Article
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.
J. Sanctorum, Van Wassenbergh, S., Nguyen, V., De Beenhouwer, J., Sijbers, J., and Dirckx, J. J. J., Projection-angle-dependent distortion correction in high-speed image-intensifier-based x-ray computed tomography, Measurement Science and Technology, vol. 32, no. 035404, pp. 1-11, 2021.
B. Auer, Kalluri, K., De Beenhouwer, J., Doty, K., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., Reconstruction using Depth of Interaction Information of Curved and Flat Detector Designs for Quantitative Multi-Pinhole Brain SPECT, Journal of Nuclear Medicine, vol. 61, p. 103, 2020.PDF icon snm2020_recon_curved.pdf (103.23 KB)
A. Könik, De Beenhouwer, J., Mukherjee, J. M., Kalluri, K., Banerjee, S., Zeraatkar, N., Fromme, T. J., and King, M. A., Simulations of a Multipinhole SPECT Collimator for Clinical Dopamine Transporter (DAT) Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 2, pp. 444-451, 2018.
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.
D. Frenkel, Six, N., De Beenhouwer, J., and Sijbers, J., Tabu-DART: A dynamic update strategy for efficient discrete algebraic reconstruction, The Visual Computer, vol. 39, pp. 4671–4683, 2023.PDF icon Download paper (2.31 MB)
S. Bazrafkan, Van Nieuwenhove, V., Soons, J., De Beenhouwer, J., and Sijbers, J., To Recurse or not to Recurse A Low Dose CT Study, Progress in Artificial Intelligence, vol. 10, pp. 65–81, 2021.
Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., Toward denoising of 3D CT scans with few data, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (5.93 MB)
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)
B. Fröhler, Elberfeld, T., Möller, T., Weissenböck, J., De Beenhouwer, J., Sijbers, J., Hege, H. - C., Kastner, J., and Heinzl, C., A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science, Computer Graphics Forum, vol. 38, no. 3, pp. 273-283, 2019.
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models, Applied Intelligence, In Press.
J. Sanctorum, De Beenhouwer, J., and Sijbers, J., X-ray phase contrast simulation for grating-based interferometry using GATE, Optics Express, vol. 28, no. 22, pp. 33390-33412, 2020.PDF icon Download paper (2.5 MB)

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