Computational Imaging

Developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds.

The leader of the group Computational Imaging: Tristan van Leeuwen

Our research group is developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds. Based on mathematics, algorithms and numerical solution techniques, our approach is interdisciplinary, combining aspects of mathematics, computer science and physics. We pride ourselves on the versatility of our solutions, and our algorithms can be applied to a wide range of imaging in science, medicine and industry. In Computational Imaging, it’s our goal to constantly push the boundaries of research. By combining advanced image acquisition, parameter estimation, and discrete tomography algorithms for example, we are able to develop workflows for 3D electron microscopy at atomic resolution.

More information on the Computational Imaging group at CWI and its FleX-ray Lab.

Video

Publications

All publications

Current projects with external funding

  • Mathematics and Algorithms for 3D Imaging of Dynamic Processes
  • Non-destructive 3D spectral imaging: applications in the poultry industry
  • Cambridge RG99590 AIO cancer imaging optimisation (Cancer Imaging Optimisation)
  • the Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX)
  • CT for Art: from Images to Patterns (IMPACT4Art)
  • Translation-Driven Development of Deep Learning for Simultaneous Tomographic Image Reconstruction and Segmentation (None)
  • Deep learning and compressed sensing for ultrasonic nondestructive testin (PPS Applus RTD)
  • Team Science Award (Team Science Award)
  • Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA)
  • Mathematics and Algorithms for 3D Imaging of Dynamic Processes / OIO positie Graas (Wiskundeclusters)
  • Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts (xCTing)