Description
Leader of the group Computational Imaging: Joost Batenburg.
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.
Vacancies
PhD Student on the subject of CT imaging for Technical Art History: Algorithms and Techniques
Many objects in cultural heritage collections have a rich 3D internal structure. While the visible outer surface has been crafted with a focus on aesthetics, many of the secrets about the process of crafting the object are hidden beneath the surface, invisible to the naked eye. X-Ray CT is a powerful tool for creating detailed 3D images of the interior of such objects. However, its application to the study of cultural heritage collections is not straightforward, as the objects cover many length scales and have widely varying compositions.
PhD Student on the subject of Ultra-Fast 3D Reconstruction
Centrum Wiskunde & Informatica (CWI) and the Mathematical Institute of Leiden University seek a dedicated candidate for a PhD position in the interdisciplinary field of Mathematical Analysis, Algorithms and Computation for Tomography. As a PhD student, you will be part-time embedded in the Computational Imaging group at CWI, and part-time in the Analysis and Dynamical Systems group of the Mathematical Institute of Leiden University. As a team, we develop cutting-edge techniques for advanced tomographic reconstruction, combining expertise from Mathematics (Inverse Problems and Dynamical Systems), Computer Science (Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Our goal is to develop novel computational methods for 3D and 4D imaging.
News
Computational Imaging group and Rijksmuseum project awarded with NICAS funding
The Netherlands Institute for Conservation, Art and Science (NICAS) has announced which proposals have been awarded in the call "An Integrated Approach to the Scientific Study and Conservation of Art", organised by NWO.
Joost Batenburg awarded with Dutch Award for ICT research 2018
Joost Batenburg has been awarded with the Dutch Award for ICT research 2018. CWI’s group leader Computational Imaging and professor at Leiden University receives the award for his research in the area of new algorithms for tomography. An amount of 50.000 euro is attached to the award. This amount can be freely spent, in order to reinforce Batenburg’s research.
CWI and Meyn Food Processing start joint research project on non-destructive 3D spectral Imaging
CWI’s Computational Imaging group and Meyn Food Processing will collaborate in a joint research project with the goal of developing novel 3D spectral imaging techniques that will be applied in the poultry industry. The research will be executed by using the technology made available in CWI's ’FleX-ray’ lab.
Centrum Wiskunde & Informatica launches world-class 3D lab
On Thursday 18 May 2017 demissionary state secretary Sander Dekker opened a new research facility that belongs to the top of the world league at Centrum Wiskunde & Informatica. With the new scanner of this lab, it will be made possible for the first time to look inside objects in 3D during the scanning process and to adjust or zoom in while scanning.
Members
Associated Members
Publications
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Hauptmann, A, Lucka, F, Betcke, M, Huynh, N, Adler, J, Cox, B, … Arridge, S. (2018). Model based learning for accelerated, limited-view 3D photoacoustic tomography. IEEE Transactions on Medical Imaging. doi:10.1109/TMI.2018.2820382
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Boink, Y.E, Lagerwerf, M.J, Steenbergen, W, van Gils, S.A, Manohar, S, & Brune, C. (2018). A framework for directional and higher-order reconstruction in photoacoustic tomography. Physics in Medicine and Biology, 63(4). doi:10.1088/1361-6560/aaaa4a
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De Carlo, F, Gürsoy, D, Ching, D.J, Batenburg, K.J, Ludwig, W, Mancini, L, … Rivers, M. (2018). TomoBank: A tomographic data repository for computational x-ray science. Measurement Science and Technology, 29(3). doi:10.1088/1361-6501/aa9c19
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der Sarkissian, H.H. (2018, January 11). Tomographic imaging in CWI: Algorithms and applications.
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Zhong, Z, Aveyard, R, Rieger, B, Bals, S, Palenstijn, W.J, & Batenburg, K.J. (2018). Automatic correction of nonlinear damping effects in HAADF–STEM tomography for nanomaterials of discrete compositions. Ultramicroscopy, 184, 57–65. doi:10.1016/j.ultramic.2017.10.013
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Kazantsev, D, Bleichrodt, F, van Leeuwen, T, Withers, P.J, Batenburg, K.J, & Lee, P.D. (2017). A novel tomographic reconstruction method based on the robust Student's t function for suppressing data outliers. IEEE Transactions on Computational Imaging, 3(4), 682–693. doi:10.1109/TCI.2017.2694607
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Joost Batenburg ontvangt Nederlandse prijs voor ICT-onderzoek 2018 - Nationale Onderwijsgids - 04-12-2017. (2017). Joost Batenburg ontvangt Nederlandse prijs voor ICT-onderzoek 2018 - Nationale Onderwijsgids - 04-12-2017.
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Kus, M, Altantzis, T, Vercauteren, S, Caretti, I, Leenaerts, O, Batenburg, K.J, … Cool, P. (2017). Mechanistic insight into the photocatalytic working of fluorinated anatase {001} nanosheets. Journal of Physical Chemistry C, 121(47), 26275–26286. doi:10.1021/acs.jpcc.7b05586
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Jørgensen, J.S, Coban, S.B, Lionheart, W.R.B, McDonald, S.A, & Withers, P.J. (2017). SparseBeads data: Benchmarking sparsity-regularized computed tomography. Measurement Science and Technology, 28. doi:10.1088/1361-6501/aa8c29
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Yousra, Y. B, Lucka, F, Salmon, J, & Gramfort, A. (2017). A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: Application to M/EEG source imaging. arXiv.org e-Print archive.
Software
Current projects with external funding
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Mathematics and Algorithms for 3D Imaging of Dynamic Processes
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Non-destructive 3D spectral imaging: applications in the poultry industry
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Real-Time 3D Tomography
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The See-Through Museum
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Automated multi-modal tomography for sub-22nm IC nodes (AMTIC)
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MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING)
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Volumetric medical x-ray imaging at extremely low dose (VOXEL)
Related partners
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Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France
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CNR Pisa
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COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
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IMAGINE OPTIC
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Meyn Food Processing Technology B.V.
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Universidad Politécnica de Madrid
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FEI
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IMEC
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Technische Universiteit Delft