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
ERCIM News 108 on Computational Imaging co-coordinated by Joost Batenburg
In January 2017, ERCIM News No. 108 was published: http://ercim-news.ercim.eu/en108. It features a special theme on Computational Imaging, coordinated by guest editors Joost Batenburg (CWI) and Tamas Sziranyi (MTA SZTAKI).
Faster computation of high-quality 3D images
PhD student Daniël Pelt of CWI has developed new algorithms for computer tomography (CT) for fast computation of high-quality three-dimensional images. This increases the practical use of this technology in areas such as material sciences and biomedical research.
Vici grant for Joost Batenburg
Researcher Joost Batenburg of CWI has been awarded a Vici grant from the Netherlands Organisation for Scientific Research (NWO) for his proposal 'Real-Time 3D Tomography'. With the 1.5 million euro grant, Batenburg can develop his own research line in the next five years.
CWI reduces perturbations in tomography
Researcher Folkert Bleichrodt of CWI has developed new methods to improve the applicability of tomography. These methods reduce unwanted perturbations. This allows for applying tomography on a very small scale or based on a small number of measurements.
Current events
Closing meeting VOXEL project
- 2019-07-01T10:00:00+02:00
- 2019-07-03T12:00:00+02:00
Closing meeting VOXEL project
Start: 2019-07-01 10:00:00+02:00 End: 2019-07-03 12:00:00+02:00
The EU evaluation panel and the project principal investigators are invited at this formal closure meeting.
Registration: you can register free of charge by using the electronic conference registration form here.
Hotels: 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) € 115/night Hotel Casa (Eerste Ringdijkstraat 4)
(B) € 143/night The Lancaster Hotel (Plantage Middenlaan 48)
(C) € 153/night The Manor Amsterdam (Linneausstraat 89)
(D) € 130/night 10% discount, Hotel Rembrandt (Plantage Middenlaan 17)
Location: CWI, Science Park 123, 1098 XG Amsterdam, lecture room L016.
Transport in and around Amsterdam: train schedules HERE and public transport HERE.
Program
Monday July 1st
TBA
Monday July 2nd
EU evaluation panel
Dinner
Wednesday July 3rd
TBA
- Email: Nada Mitrovic
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iCal
Members
- Joost Batenburg
- Bastiaan Beerman
- Francien Bossema
- Jan-Willem Buurlage
- Sophia Coban
- Tomas Duinkerken
- Maureen van Eijnatten
- Poulami Ganguly
- Adriaan Graas
- Allard Hendriksen
- 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, Bannink, T.R, & 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, 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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Rapid 3D Printing through full-field volumetric photolithography ()
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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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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
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Photosynthetic B.V.