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.
News
Jeroen Hazewinkel wins prize for best presentation
At the annual meeting of the J.M. Burgers Centrum (the Research School for Fluid Dynamics) Jeroen Hazewinkel of the Centrum Wiskunde & Informatica (CWI) has been awarded the first prize for his presentation about tomographical (3D) reconstructions of internal water waves.
Better image quality for virtual reality with computer science
Less image delays, less 'image echoes' and more fluid movements in virtual reality (VR): this is all possible with the research of Ferdi Smit of the Centrum Wiskunde & Informatica (CWI), the Dutch national research center for mathematics and computer science in Amsterdam, the Netherlands.
Current events
Mummering General Assembly
- 2018-10-30T12:00:00+01:00
- 2018-10-31T15:00:00+01:00
Mummering General Assembly
Start: 2018-10-30 12:00:00+01:00 End: 2018-10-31 15:00:00+01:00
The Mummering General Assembly will take place at CWI, Amsterdam on 30-31 October 2018. The program is available.
Online registration is now open.
The registration fee is € 70 and covers dinner at Humprey's restaurant, lunches and refreshments. You can register by using the electronic conference registration form HERE, the deadline is 1 October. Note: you will be asked to pay with iDEAL, Mister Cash or credit card directly at registration.
Practical information
Location: CWI – room L016
Science Park 123
1098 XG Amsterdam
Netherlands
Download the Science Park Amsterdam map here.
Access by public transport:
Train: CWI is a five minute walk away from NS station Amsterdam Science Park. This station is served four times an hour from the directions Amsterdam Centraal – Schiphol and Almere – Amersfoort. Walk through the tunnel after leaving the platform for the science park (northeast exit), cross the street (Carolina MacGillavrylaan) at the crosswalk and walk past the brown building of Amsterdam University College. You will be able to see CWI’s main entrance on your left behind the parking lot.
Bus: alternatively, bus 40 serves Amsterdam Science Park four times an hour from stations Amsterdam Amstel (train, metro, tram) and Amsterdam Muiderpoort (train, tram). Get off at bus stop ‘Science Park’ or ‘Science Park Aer’. During rush hour bus 240 can be used, too.
Accommodation
Local accommodations at which CWI can offer discount rates are listed below (including breakfast). These hotel rates are maximum prices. If lower rates are available at the time of your booking, the lower rate will be booked by the hotel. Please be informed that these rates are for refundable bookings. If you prefer, you can ask the hotels for their non-refundable rates:
(A) € 110/night Hotel Casa (Eerste Ringdijkstraat 4)
(B) € 155/night The Lancaster Hotel (Plantage Middenlaan 48)
(C) € 165/night The Manor Amsterdam (Linneausstraat 89)
(D) € 130/night 10% discount, Hotel Rembrandt (Plantage Middenlaan 17)
Members
- Joost Batenburg
- Francien Bossema
- Jan-Willem Buurlage
- Sophia Coban
- Giulia Colacicco
- Maureen van Eijnatten
- Poulami Ganguly
- Adriaan Graas
- Allard Hendriksen
- Alexander Kostenko
- Rien Lagerwerf
- Robert van Liere
- Felix Lucka
- Willem Jan Palenstijn
- Daniel Pelt
- Henri Der Sarkissian
- Richard Schoonhoven
- Nicola Vigano
- Mathe Zeegers
- Zhichao Zhong
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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Haber, E, Lucka, F, & Ruthotto, L. (2018). Never look back - A modified EnKF method and its application to the training of neural networks without back propagation.
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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
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