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
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.
CWI develops new algebraic filter for reconstruction of X-Ray images
CWI PhD student Linda Plantagie of the Computational Imaging research group has introduced a new algebraic filter for the use of reconstructing X-Ray images. Linda Plantagie will defend her thesis 13 April at Leiden University.
The Netherlands’ smallest supercomputer is here
A team of Dutch scientists has built a supercomputer the size of four pizza boxes. The Little Green Machine II has the computing power of 10,000 PCs and will be used by researchers in oceanography, computer science, artificial intelligence, financial modeling and astronomy. CWI researchers Joost Batenburg and Kees Oosterlee, who were part of the development team, will use the machine for computational imaging and machine learning for time series respectively. The computer is based at Leiden University (the Netherlands) and developed with help from IBM.
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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).
-
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
-
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
-
Machine learning for large 3D tomographic images ()
-
Non-destructive 3D spectral imaging: applications in the poultry industry ()
-
Rapid 3D Printing through full-field volumetric photolithography ()
-
Real-Time 3D Tomography ()
-
Mathematics and Algorithms for 3D Imaging of Dynamic Processes
-
PPS contract Planmeca
-
CT for Art: from Images to Patterns (IMPACT4Art)
-
MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING)
-
Volumetric medical x-ray imaging at extremely low dose (VOXEL)
Related partners
-
Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France
-
CNR Pisa
-
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
-
IMAGINE OPTIC
-
Naturalis
-
Planmeca
-
Rijksmuseum Amsterdam
-
Universidad Politécnica de Madrid
-
Photosynthetic B.V.