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
Veni grant for Daniël Pelt
The Netherlands Organisation for Scientific Research (NWO) has awarded a Veni grant to CWI researcher Daniël Pelt.
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.
Current events
Code Sprint Deep Learning for High Resolution 3D Tomographic Reconstruction
- 2019-06-03T09:00:00+02:00
- 2019-06-07T17:00:00+02:00
Code Sprint Deep Learning for High Resolution 3D Tomographic Reconstruction
Start: 2019-06-03 09:00:00+02:00 End: 2019-06-07 17:00:00+02:00
The code sprint will take place at CWI, Amsterdam on 3-7 June 2019. The program will be provided shortly.
Practical information
Location: CWI – room L102
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 Area’. 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) € 130/night breakfast included Hotel Casa (Eerste Ringdijkstraat 4)
(B) € 160/night breakfast included The Lancaster Hotel (Plantage Middenlaan 48)
(C) € 170/night breakfast included The Manor Amsterdam (Linneausstraat 89)
(D) € 130/night breakfast included 10% discount, Hotel Rembrandt (Plantage Middenlaan 17)
- Email: Maureen van Eijnatten
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iCal
Members
- Joost Batenburg
- Francien Bossema
- Jan-Willem Buurlage
- Sophia Coban
- Tomas Duinkerken
- Maureen van Eijnatten
- Poulami Ganguly
- Adriaan Graas
- Allard Hendriksen
- Alexander Kostenko
- Rien Lagerwerf
- Robert van Liere
- Felix Lucka
- Willem Jan Palenstijn
- Daniël Pelt
- Richard Schoonhoven
- Dzemila Sero
- Tim Wanamarta
- Mathé Zeegers
Associated Members
Publications
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Viganò, N.R, Martínez Gil, P.M, Herzog, C, de la Rochefoucauld, O, Liere, R.V. (Robert Van), & Batenburg, K.J. (2019). Advanced light-field refocusing through tomographic modeling of the photographed scene. Optics Express, 27(6), 7834–7856. doi:10.1364/OE.27.007834
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Pelt, D.M, Batenburg, K.J, & Sethian, J.A. (2018). Improving tomographic reconstruction from limited data using Mixed-Scale Dense convolutional neural networks. Journal of Imaging, 4(11), 128–128. doi:10.3390/jimaging4110128
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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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van Liere, R, Batenburg, K.J, Kostenko, A, Wang, C-L, & Garachon, I. (2018). Imaging ancient Chinese ivory puzzle balls: deducing the make Process. In PROCEEDINGS of the sixth International workshop on Image Processing for Art Investigation (IP4AI) Gent, Belgium 21-22 June 2018 (pp. 48–50).
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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
Software
Current projects with external funding
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Machine learning for large 3D tomographic images ()
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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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Mathematics and Algorithms for 3D Imaging of Dynamic Processes
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PPS contract Planmeca
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Rapid 3D Printing through full-field volumetric photolithography
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The See-Through Museum
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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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Naturalis
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Planmeca
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Rijksmuseum Amsterdam
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Universidad Politécnica de Madrid