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. laminography, tomosynthesis, ...)
  • Dynamic (4D) tomography
  • Discrete tomography
  • Electron tomography

Journal publications

In Press

M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, In Press.

2024

B. Huyge, Renders, J., Sanctorum, J., De Beenhouwer, J., and Sijbers, J., “X-ray image reconstruction for continuous acquisitions with a generalized motion model”, Optics Express, vol. 32, no. 22, pp. 39192-39207, 2024.
J. Renders, “Improved 4DCT reconstruction algorithms for the imaging of foam microstructure formation”, 2024.
J. Renders, Mancini, L., De Beenhouwer, J., and Sijbers, J., “Direct reconstruction of wet foam from sparse-view, dynamic X-ray CT scans”, Advanced Engineering Materials, vol. 2400957, pp. 1-10, 2024.PDF icon Download paper (2.77 MB)
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., “PACS: Projection-driven with Adaptive CADs X-ray Scatter compensation for additive manufacturing inspection”, Precision Engineering, vol. 90, pp. 108-121, 2024.PDF icon Download paper (4.28 MB)
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., “Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models”, Applied Intelligence, vol. 54, pp. 13160–13177, 2024.PDF icon Download paper (2.48 MB)
N. Francken, Sanctorum, J., Sanctorum, J., Vanthienen, P. - J., Sijbers, J., and De Beenhouwer, J., “Inline edge illumination X-ray phase contrast imaging through mask misalignment”, Optics Express, vol. 32, no. 18, pp. 32048-32061, 2024.PDF icon Download paper (1.69 MB)
J. Deng, Renders, J., Meenaketan, B. Linkoon P., Takalloo, S. Ebrahimi, Braeken, D., De Beenhouwer, J., and Sijbers, J., “Imaging Algorithm and Optimal Measurement Protocol for 3D Impedance Tomography on 2D High Density Micro Electrode Array”, IEEE Sensors, vol. 24, no. 15, pp. 24452-24465, 2024.
D. Iuso, Paramonov, P., De Beenhouwer, J., and Sijbers, J., “Practical multi-mesh registration for few-view poly-chromatic X-ray inspection”, Journal of Non-destructive Testing, vol. 43, 2024.PDF icon Download paper (6.94 MB)
N. Francken, Sanctorum, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Edge illumination x-ray phase contrast simulations using the CAD-ASTRA toolbox”, Optics Express, vol. 32, no. 6, pp. 10005-10021, 2024.

Pages