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G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Accurate reconstruction of porous samples in CT”, International Conference on Industrial Computed Tomography (ICT). 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Region based 4D tomographic image reconstruction: application to cardiac X-ray CT”, in IEEE International Conference on Image Processing, 2015, pp. 113 - 117.PDF icon Download paper (708.79 KB)
G. Van Eyndhoven, “Model-based iterative reconstruction algorithms for computed tomography”, 2015.PDF icon Download thesis (4.93 MB)
G. Van Eyndhoven and Sijbers, J., “Iterative reconstruction methods in X-ray CT”, in Handbook of X-ray Imaging: Physics and Technology, CRC Press, 2018, pp. 693-712.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., “An iterative CT reconstruction algorithm for fast fluid flow imaging”, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4446-4458, 2015.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., “A 4D CT reconstruction algorithm for fast liquid flow imaging”, Applied Inverse Problems Conference, Helsinki. 2015.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Region-based iterative reconstruction of structurally changing objects in CT”, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 909-919, 2014.
G. Van Gompel, Defrise, M., and Batenburg, K. J., “Reconstruction of a uniform star object from interior x-ray data: uniqueness, stability and algorithm”, Inverse Problems, vol. 25, 2009.
G. Van Gompel, Batenburg, K. J., Defrise, M., and Sijbers, J., “An iterative post-reconstruction method for beam hardening reduction without prior information”, Liege Image Days 2008: Medical Imaging. 2008.PDF icon Download abstract (42 KB)PDF icon Download poster (262.82 KB)
G. Van Gompel, Defrise, M., and Van Dyck, D., “Consistent Extrapolation of Truncated 2D CT Projections”, in Micro tomography 3D, Gasthuisberg, Leuven, Belgium, 2006.
G. Van Gompel, Batenburg, K. J., Van de Casteele, E., Van Aarle, W., and Sijbers, J., “A discrete tomography approach for superresolution micro-CT images”, in IEEE International Symposium on Biomedical Imaging, Rotterdam, 2010, pp. 816-819.PDF icon Download paper (1.13 MB)
G. Van Gompel, Defrise, M., and Batenburg, K. J., “Reconstruction of a uniform star object from interior X-ray data”, in Nuclear Science Symposium Conference Record, NSS08, IEEE, Dresden, Germany, 2008, pp. 4115-4119.
G. Van Gompel, Defrise, M., and Van Dyck, D., “Elliptical Extrapolation of Truncated 2D CT Projections using Helgason-Ludwig consistency conditions”, in SPIE Medical Imaging: Physics of Medical Imaging, San Diego, Californa, USA, 2006, vol. 6142, pp. 1408-1417.
G. Van Gompel, Tisson, G., Van Dyck, D., and Sijbers, J., “A new algorithm for Region Of Interest Tomography”, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2004, vol. 127, pp. 2105-2113.PDF icon Download paper (624.91 KB)
G. Van Gompel, Van Dyck, D., Tisson, G., and Sijbers, J., “A new algorithm for Region Of Interest Tomography”, in 19th Annual Symposium of the Belgian Hospital Physicists Association, 2004.
G. Van Gompel, Van Slambrouck, K., Defrise, M., Batenburg, K. J., De Mey, J., Sijbers, J., and Nuyts, J., “Iterative correction of beam hardening artifacts in CT”, Medical Physics, vol. 38, pp. 36-49, 2011.
G. Van Gompel, “Towards accurate image reconstruction from truncated X-ray CT projections”, University of Antwerp, Antwerp, 2009.PDF icon Download thesis (3.2 MB)
W. Van Hecke, Leemans, A., D'Agostino, E., De Backer, S., Vandervliet, E., Parizel, P. M., and Sijbers, J., “The evaluation of a population based diffusion tensor image atlas using a ground truth method”, in Proceedings of SPIE Medical Imaging, San Diego, USA, 2008, vol. 6914.
W. Van Hecke, Leemans, A., Sijbers, J., Vandervliet, E., Van Goethem, J., and Parizel, P. M., “A tracking based DTI segmentation method for the detection of diffusion-related changes of the cervical spinal cord with aging”, Journal of Magnetic Resonance Imaging, vol. 27, pp. 978-991, 2008.PDF icon Download paper (4.4 MB)
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., “A comparison of diffusion tensor analysis methods for detecting age-related changes of the normal appearing spinal cord”, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 293-294.
W. Van Hecke, Sijbers, J., Van Goethem, J., and Parizel, P. M., “Diffusion tensor tractography reveals white matter alterations in the normal appearing spinal cord of Multiple Sclerosis patients”, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
W. Van Hecke, D'Agostino, E., Leemans, A., Parizel, P. M., Maes, F., and Sijbers, J., “On the construction of a healthy brain inter-subject diffusion tensor image and tractography atlas”, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 146.
W. Van Hecke, Leemans, A., Sage, C. A., Veraart, J., Sijbers, J., and Sunaert, S., “The effect of template selection on diffusion tensor voxel based analysis results”, NeuroImage, vol. 55, pp. 566-573, 2011.
W. Van Hecke, Leemans, A., De Backer, S., Vandervliet, E., Parizel, P. M., Sijbers, J., and D'Agostino, E., “Non-rigid coregistration of diffusion tensor images using a viscous fluid model.”, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 191-192.
W. Van Hecke, Leemans, A., De Backer, S., Jeurissen, B., Parizel, P. M., and Sijbers, J., “Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation study”, Human Brain Mapping, vol. 31, pp. 98-114, 2010.

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