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
Postdoc on the subject of Pattern Recognition and Analysis for Technical Art History
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Computational Imaging research group for a talented Postdoc on the subject of Pattern Recognition and Analysis for Technical Art History
News
Quality guarantee for tomographic images developed
CWI researcher Wagner Fortes has developed new methods to determine the quality of tomographic images. Tomography is an imaging technique used in for instance medical CT scanners and electron microscopes that uses penetrating beams to record a series of two-dimensional images from a range of angles.
CWI leads European network of imaging specialists
Centrum Wiskunde & Informatica (CWI) will lead the research network EXTREMA, which was officially launched yesterday with a kick-off meeting in Brussels. EXTREMA aims to create an interdisciplinary research community consisting of both X-ray specialists and mathematicians. Together they will work on the next generation of imaging techniques to advance both science and industrial R&D.
Solar cells imaged at the nanoscale in 3D
Researchers of Centrum Wiskunde & Informatica (CWI) in Amsterdam succeeded in imaging the three-dimensional structure of solar cells with unprecedented accuracy. The results of this joint research with colleagues from the University of California in Davis and the Pacific Northwest National Laboratory are published today in the journal Advanced Functional Materials.
Joost Batenburg professor Discrete Mathematics and Tomography at Leiden University
As of October 1, 2012, Joost Batenburg of Centrum Wiskunde & Informatica (CWI) has been appointed Professor of Discrete Mathematics and Tomography at the Mathematical Institute of Leiden University.
Members
Associated Members
Publications
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Tick, J, Pulkkinen, A, Lucka, F, Ellwood, R, Cox, B.T, Kaipio, J.P. (Jari), … Tarvainen, T. (2018). Three dimensional photoacoustic tomography in Bayesian framework. The Journal of the Acoustical Society of America, 144(4), 2061–2071. doi:10.1121/1.5057109
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der Sarkissian, H.H, Viganò, N.R, & Batenburg, K.J. (2018). A data consistent variational segmentation approach suitable for real-time tomography. Fundamenta Informaticae, 163(1), 1–20. doi:10.3233/FI-2018-1729
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Hauptmann, A, Arridge, S, Lucka, F, Muthurangu, V, & Steeden, J.A. (2018). Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning–proof of concept in congenital heart disease. Magnetic Resonance in Medicine. doi:10.1002/mrm.27480
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Buurlage, J.W, Bannink, T, & Bisseling, R.H. (2018). Bulk: A modern C++ interface for bulk-synchronous parallel programs. In Euro-Par 2018: Parallel Processing (pp. 519–532). doi:10.1007/978-3-319-96983-1_37
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Treeby, B, Lucka, F, Martin, E, & Cox, B.T. (2018). Equivalent-source acoustic holography for projecting measured ultrasound fields through complex media. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. doi:10.1109/TUFFC.2018.2861895
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Buurlage, J.W, Kohr, H, Palenstijn, W.J, & Batenburg, K.J. (2018). Real-time quasi-3D tomographic reconstruction. Measurement Science and Technology, 29(6). doi:10.1088/1361-6501/aab754
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Hauptmann, A, Lucka, F, Betcke, M, Huynh, N, Adler, J, Cox, B.T, … 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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Tick, J, Pulkkinen, A, Lucka, F, Ellwood, R, Cox, B.T, Arridge, S, & Tarvainen, T. (2018). Photoacoustic image reconstruction in Bayesian framework. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. doi:10.1117/12.2288163
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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PPS contract Planmeca
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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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CT for Art: from Images to Patterns (IMPACT4Art)
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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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Naturalis
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Planmeca
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Rijksmuseum Amsterdam
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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