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2016
J. Veraart, Novikov, D. S., Daan, C., Ades-Aron, B., Sijbers, J., and Fieremans, E., “Denoising of diffusion MRI using random matrix theory”, NeuroImage, vol. 142, pp. 384-396, 2016.PDF icon Download paper (4.53 MB)
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., “Detecting and locating light atoms from high-resolution STEM images: the quest for a single optimal design Ultramicroscopy”, Ultramicroscopy, vol. 170, pp. 128-138, 2016.
J. Veraart and Sijbers, J., “Diffusion Kurtosis Imaging”, in Diffusion Tensor Imaging: a practical handbook, New York: Springer-Verlag, 2016, pp. 407-418.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Naeyaert, M., Vanhoutte, G., Delgado Y Palacios, R., Praet, J., Fieremans, E., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., “Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination”, NeuroImage, vol. 125, pp. 363–377, 2016.
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., “Discrete tomographic reconstruction from deliberately motion blurred X-ray projections”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
W. J. Palenstijn, Bédorf, J., Sijbers, J., and Batenburg, K. J., “A distributed ASTRA Toolbox”, Advanced Structural and Chemical Imaging, vol. 2, no. 19, 2016.PDF icon Download paper (2.7 MB)
V. Van Nieuwenhove, De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in X-ray computed tomography”, in Optimess conference, 2016, Antwerp.
G. Van Eyndhoven, De Beenhouwer, J., and Sijbers, J., “A dynamic region estimation method for cerebral perfusion CT”, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 331-342.PDF icon Download paper (840.01 KB)
F. Bleichrodt, van Leeuwen, T., Palenstijn, W. J., Van Aarle, W., Sijbers, J., and Batenburg, K. J., “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators”, Numerical Algorithms, vol. 71, pp. 673-697, 2016.
W. Van Aarle, Palenstijn, W. J., Cant, J., Janssens, E., Bleichrodt, F., Dabravolski, A., De Beenhouwer, J., Batenburg, K. J., and Sijbers, J., “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, vol. 24, pp. 25129-25147, 2016.PDF icon Download paper (8.34 MB)
E. Janssens, Alves Pereira, L. F., De Beenhouwer, J., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Fast inline inspection by neural network based filtered backprojection: Application to apple inspection”, Case Studies in Nondestructive Testing and Evaluation, vol. 6, pp. 14–20, 2016.PDF icon Download paper (726.63 KB)
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Fast X-ray Computed Tomography via Image Completion”, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
K. Stanković, Danckaers, F., Booth, B. G., Burg, F., Duerinck, S., Sijbers, J., and Huysmans, T., “Foot Abnormality Mapping using Statistical Shape Modelling”, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December., pp. 70-79.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., “High Resolution Diffusion Tensor Reconstruction from Simultaneous Multi-Slice Acquisitions in a Clinically Feasible Scan Time”, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 2, 2016.
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., “In vivo high resolution diffusion tensor imaging in a clinically acceptable scan time by combining super resolution reconstruction with simultaneous multi-slice acquisition”, ISMRM Benelux Chapter, vol. 8. 2016.
T. De Schryver, Dhaene, J., Dierick, M., Boone, M. N., Janssens, E., Sijbers, J., Van Dael, M., Verboven, P., Nicolai, B., and Van Hoorebeke, L., “In-line NDT with X-Ray CT combining sample rotation and translation”, NDT & E International, vol. 89, pp. 89–98, 2016.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data”, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
B. Goris, De Beenhouwer, J., De Backer, A., Zanaga, D., Batenburg, K. J., Sánchez-Iglesias, A., Liz-Marzán, L. M., Van Aert, S., Sijbers, J., Van Tendeloo, G., and Bals, S., “Investigating lattice strain in Au nanodecahedrons”, European Microscopy Congress 2016. 2016.
K. Zarei Zefreh, De Beenhouwer, J., Welford, F. M., and Sijbers, J., “Investigation on Effect of scintillator thickness on Afterglow in Indirect X-ray Detectors”, in 6th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2016), 2016.
K. Zarei Zefreh, “Investigation on the effect of exposure time on scintillator afterglow for ultra-fast tomography acquisition”, Journal of Instrumentation, vol. 11, 2016.
K. Zarei Zefreh, Welford, F. M., and Sijbers, J., “Investigation on the effect of exposure time on scintillator afterglow for ultra-fast tomography acquisition”, in 18th International Workshop on Radiation Imaging Detectors, Barcelona, Spain, 2016, vol. 11, p. C12014.PDF icon Download paper (482.36 KB)
V. Van Nieuwenhove, Van Eyndhoven, G., Batenburg, K. J., Buls, N., Vandemeulebroucke, J., De Beenhouwer, J., and Sijbers, J., “Local Attenuation Curve Optimization (LACO) framework for high quality perfusion maps in low-dose cerebral perfusion CT”, Medical Physics, vol. 43, no. 12, pp. 6429-6438, 2016.
J. Cant and Sijbers, J., “Method and system for correcting geometric misalignment during image reconstruction in chest tomosynthesis”, U.S. Patent EP16173767.12016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., “Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks”, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
P. Bladt, Van Steenkiste, G., Ramos-Llordén, G., den Dekker, A. J., and Sijbers, J., “Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation”, in SPIE Medical Imaging, San Diego, California, United States of America, 2016, vol. 9784, p. 978402.PDF icon Download paper (624.23 KB)

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