Publications

Export 158 results:
Author [ Type(Desc)] Year
Filters: Author is Arnold Jan den Dekker  [Clear All Filters]
Journal Article
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., Vanhevel, F., Parizel, P. M., and Sijbers, J., “Super-resolution T1 estimation: quantitative high resolution T1 mapping from a set of low resolution T1 weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 77, no. 5, pp. 1818–1830, 2017.PDF icon Download paper (3.3 MB)
P. Bladt, van Osch, M. J. P., Clement, P., Achten, E., Sijbers, J., and den Dekker, A. J., “Supporting measurements or more averages? How to quantify cerebral blood flow most reliably in 5 minutes by arterial spin labeling”, Magnetic Resonance in Medicine, vol. 84, no. 5, pp. 2523-2536, 2020.PDF icon Download paper (1.3 MB)
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., van den Bos, A., den Dekker, A. J., Jansen, J., and Zandbergen, H., “Towards quantitative structure determination through electron holographic methods”, Materials Characterization, vol. 42, pp. 265-281, 1999.PDF icon Download paper (6.71 MB)
G. Ramos-Llordén, den Dekker, A. J., Van Steenkiste, G., Jeurissen, B., Vanhevel, F., Van Audekerke, J., Verhoye, M., and Sijbers, J., “A unified Maximum Likelihood framework for simultaneous motion and T1 estimation in quantitative MR T1 mapping”, IEEE Transactions on Medical Imaging, vol. 36, no. 2, pp. 433 - 446, 2017.
Miscellaneous
G. Ramos-Llordén, den Dekker, A. J., and Sijbers, J., “Joint motion correction and estimation for T1 mapping: proof of concept”, Medical Imaging Summer School 2014, Favignana, Italy. 2014.
Thesis
P. Bladt, “Accurate and precise perfusion parameter estimation in pseudo-continuous arterial spin labeling MRI”, 2020.
D. H. J. Poot, “Advances in the reconstruction and statistical processing of Magnetic Resonance images”, 2009.PDF icon Download thesis (6.18 MB)
G. Ramos-Llordén, “Improved MRI Relaxometry through Statistical Signal Processing”, University of Antwerp, Antwerp, 2018.PDF icon Download thesis (19.25 MB)

Pages