Tomography

Tomography is an imaging technique that combines projections taken from different directions into a reconstruction of the interior of a patient or an object. The ASTRA research group (“All Scales Tomographic Reconstruction Antwerp”) of imec-Vision Lab develops tomographic reconstruction algorithms for electron, X-ray, neutron, and magnetic resonance imaging. The ASTRA group developed the ASTRA-Toolbox, which is an open source, GPU accelerated software platform for the development of novel tomographic reconstruction methods; it can be downloaded from www.astra-toolbox.com.

Key expertises:

  • Phase contrast X-ray CT (edge illumination and grating based interferometry)
  • X-ray tomography for non-standard acquisition geometries (e.g. conveyor belt, laminography, tomosynthesis, 4DCT, ...)
  • THz tomography
  • Atom probe tomography
  • Electron tomography
  • Electrical Impedance tomography

Journal publications

2014

A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.PDF icon Download paper (6.13 MB)
T. Roelandts, Batenburg, K. J., den Dekker, A. J., and Sijbers, J., “The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography”, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014.PDF icon Download paper (4.58 MB)
W. Van den Broek, Rosenauer, A., Sijbers, J., Van Dyck, D., and Van Aert, S., “A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM Ultramicroscopy”, Ultramicroscopy, vol. 141, pp. 22–31, 2014.
H. K. Jenssen, Oberlander, B. C., De Beenhouwer, J., Sijbers, J., and Verwerft, M., “Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor”, Progress in Nuclear Energy, vol. 72, pp. 55-62, 2014.
F. Bleichrodt, De Beenhouwer, J., Sijbers, J., and Batenburg, K. J., “Aligning Projection Images from Binary Volumes”, Fundamenta Informaticae, vol. 135, pp. 1-22, 2014.
W. Van Aarle, Batenburg, K. J., Van Gompel, G., Van de Casteele, E., and Sijbers, J., “Super-resolution for computed tomography based on discrete tomography”, IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1181 - 1193, 2014.PDF icon Download paper (2.24 MB)
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.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Adaptive zooming in X-ray computed tomography”, Journal of X-Ray Science and Technology, vol. 22, pp. 77-89, 2014.PDF icon Download paper (3.75 MB)
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.

2013

B. Bosmans, Huysmans, T., Wirix-Speetjens, R., Verschueren, P., Sijbers, J., Bosmans, J., and Vander Sloten, J., “Statistical shape modeling and population analysis of the aortic root of TAVI patients”, Journal of Medical Devices, vol. 7, no. 4, 2013.

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