Publications

Export 46 results:
Author Type [ Year(Desc)]
Filters: Author is Dirk H J Poot  [Clear All Filters]
2011
J. Veraart, Poot, D. H. J., Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging”, Magnetic Resonance in Medicine, vol. 65, pp. 138-145, 2011.PDF icon Download paper (387.31 KB)
M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., “Optimized Workflow for Diffusion Kurtosis Imaging of Newborns”, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)
2012
I. Blockx, De Groof, G., Verhoye, M., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., Osmand, A. P., Von Hörsten, S., and Van Der Linden, A., “Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.”, NeuroImage, vol. 59, pp. 957-67, 2012.
2013
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., “Super resolution reconstruction from differently oriented diffusion tensor data sets”, 5th meeting of the ISMRM Benelux Chapter. Rotterdam, The Netherlands, 2013.
G. Van Steenkiste, Jeurissen, B., Sijbers, J., and Poot, D. H. J., “Super resolution reconstruction from differently oriented diffusion tensor data sets”, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 3186, 2013.
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., and Sijbers, J., “Super resolution reconstruction of diffusion tensor parameters from multi-oriented diffusion weighted images”, Imaging the brain at different scales: How to integrate multi-scale structural information?. 2013.
D. H. J. Poot, Jeurissen, B., Bastiaensen, Y., Veraart, J., Van Hecke, W., Parizel, P. M., and Sijbers, J., “Super-Resolution for Multislice Diffusion Tensor Imaging”, Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 103–113, 2013.PDF icon Download paper (1.04 MB)
2014
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., Parizel, P. M., and Sijbers, J., “Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images”, 6th meeting of the ISMRM Benelux chapter. Maastricht, The Netherlands, 2014.
G. Van Steenkiste, Jeurissen, B., Parizel, P. M., Poot, D. H. J., and Sijbers, J., “Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images”, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, 2014.
2015
G. Van Steenkiste, Hamaide, J., Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Sijbers, J., and Verhoye, M., “Combination of super-resolution reconstruction diffusion tensor imaging and track density imaging reveals song control system connectivity in zebra finches”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2861, 2015.PDF icon Download abstract (108.98 KB)
G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., “High resolution diffusion tensor imaging in a clinically feasible scan time”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “High resolution T1 estimation from multiple low resolution magnetic resonance images”, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.
G. Van Steenkiste, Hamaide, J., Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Sijbers, J., and Verhoye, M., “Super-resolution structural connectivity and anatomy of the zebra finch brain ”, ISMRM Benelux. 2015.
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Super-resolution T1 mapping: a simulation study”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 1679, 2015.PDF icon Download abstract (1.22 MB)
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.
G. Van Steenkiste, “Super-resolution estimation of quantitative MRI parameters”, University of Antwerp, 2016.PDF icon Download PhD thesis (7.56 MB)
G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., “Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.
2017
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)
2019
E. Ribeiro Sabidussi, Nicastro, M., Bazrafkan, S., Beirinckx, Q., Jeurissen, B., den Dekker, A. J., Klein, S., and Poot, D. H. J., “A deep learning approach to T1 mapping in quantitative MRI”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). Magn Reson Mater Phy, 2019.
2020
Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., “Joint Maximum Likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study”, Fundamenta Informaticae, vol. 172, pp. 105–128, 2020.
M. Nicastro, Beirinckx, Q., Bladt, P., Jeurissen, B., Klein, S., Sijbers, J., Poot, D. H. J., and den Dekker, A. J., “Optimal design of a T1 super-resolution reconstruction experiment: a simulation study”, 12th Annual Meeting of the ISMRM Benelux Chapter. 2020.PDF icon Download abstract (810.88 KB)

Pages