X-ray imaging

Discrete tomographic reconstruction from deliberately motion blurred X-ray projections

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.

Files:

Download paper

Model-based iterative reconstruction algorithms for computed tomography

G. Van Eyndhoven, “Model-based iterative reconstruction algorithms for computed tomography”, 2015.

Files:

Download thesis

Dynamic flat field correction in X-ray computed tomography

V. Van Nieuwenhove, De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in X-ray computed tomography”, in Optimess conference, 2016, Antwerp.

An iterative CT reconstruction algorithm for fast fluid flow imaging

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.

Affine deformation correction in cone beam Computed Tomography

V. Van Nieuwenhove, De Beenhouwer, J., De Schryver, T., Van Hoorebeke, L., and Sijbers, J., “Affine deformation correction in cone beam Computed Tomography”, in Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Newport, Rhode Island, USA, 2015, pp. 182-185.

Region based 4D tomographic image reconstruction: application to cardiac X-ray CT

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.

Files:

Download paper

Projection-based polygon estimation in X-ray computed tomography

A. Dabravolski, De Beenhouwer, J., and Sijbers, J., “Projection-based polygon estimation in X-ray computed tomography”, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 41-50.

Files:

Download paper

Inline Computed Tomography

X-ray Computed Tomography (CT) has been applied in industry for quality and defect control in food products. However, conventional CT systems are neither cost effective nor flexible, making the deployment of such technology unfeasible for many industrial environments. We propose a simple and cost effective X-ray imaging setup that comprises a linear translation of the object in a conveyor belt with a fixed X-ray source and detector, with which a small number of X-ray projections can be acquired within a limited angular range.

A Multiresolution Approach to Discrete Tomography Using DART

A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.

Files:

Download paper

Conveyor belt X-ray CT using Domain Constrained Discrete Tomography

L. F. Alves Pereira, Dabravolski, A., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., “Conveyor belt X-ray CT using Domain Constrained Discrete Tomography”, in Sibgrapi conference on Graphics, Patterns and Images, 2014, pp. 290 - 297.

Files:

Download paper

Pages