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G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., and Sijbers, J., “An iterative prior knowledge based reconstruction algorithm for increased temporal/spatial resolution in the CT imaging of fluid flow through solid matter”, Interpore 2015. 2015.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “An Algebraic Reconstruction Technique for the Study of Local Structural Changes during CT”, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 137-141.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography”, European Congress of Radiology 2014 (ECR 2014). 2014.
G. Van Eyndhoven, Kurttepeli, M., Van Oers, C. J., Cool, P., Bals, S., Batenburg, K. J., and Sijbers, J., “Pore REconstruction and Segmentation (PORES) method for improved porosity quantification of nanoporous materials”, Ultramicroscopy, vol. 148, pp. 10-19, 2015.
G. Van Eyndhoven, Batenburg, K. J., Oers, C. V., Kurttepeli, M., Bals, S., Cool, P., and Sijbers, J., “Reliable Pore-size Measurements Based on a Procedure Specifically Designed for Electron Tomography Measurements of Nanoporous Samples”, International Congress on 3D Materials Science 2014 . 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “Region-Based SIRT algorithm for the reconstrcution of phase bins in dynamic micro-CT”, Bruker Micro-CT User Meeting. 2013.
G. Van Eyndhoven, Sijbers, J., and Batenburg, K. J., “Combined Motion Estimation and Reconstruction in Tomography”, in 12th European Conference on Computer Vision, Firenze, Italy, 2012, vol. 7583, pp. 12-21.PDF icon Download paper (478.83 KB)
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 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, Defrise, M., and Van Dyck, D., “Consistent Extrapolation of Truncated 2D CT Projections”, in Micro tomography 3D, Gasthuisberg, Leuven, Belgium, 2006.
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)
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, 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, 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.
W. Van Hecke, “Improved Processing for Diffusion Tensor Magnetic Resonance Images for Coregistration, Atlas Construction, and Voxel Based Analysis”, University of Antwerp, Antwerp, 2009.PDF icon Download thesis (35.03 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., 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, Nagels, G., Emonds, G., Leemans, A., Sijbers, J., van Goethem, J., and Parizel, P. M., “A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesions.”, Journal of magnetic resonance imaging : JMRI, vol. 30, no. 1, pp. 25-34, 2009.PDF icon Download paper (902.67 KB)
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., 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.

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