Description
Leader of the group Computational Imaging: Tristan van Leeuwen.
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.
More information on the Computational Imaging group at CWI.
Vacancies
No vacancies currently.
News
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.
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.
Current events
SECOND ANNUAL MEETING FOR THE DUTCH INVERSE PROBLEMS COMMUNITY
- 2022-11-10T09:30:00+01:00
- 2022-11-11T18:00:00+01:00
SECOND ANNUAL MEETING FOR THE DUTCH INVERSE PROBLEMS COMMUNITY
Start: 2022-11-10 09:30:00+01:00 End: 2022-11-11 18:00:00+01:00
The second annual meeting of the Dutch Inverse Problems Community will take place on 10-11 November 2022 in conference center de Werelt, Lunteren. A summary of last year’s event can be read here.
Registration
The registration is now open. Registration fees are expected to be around EUR 225 for 2-day attendance (including lunch, diner, and hotel), and EUR 50 for 1-day attendance for EUR 50 (including lunch). You will receive additional confirmation about the exact fees and payment details in september.
Preliminary program
Thursday November 10
Masterclasses on High Performance Computing and Inverse Problem Theory (preliminary abstracts are included below). The masterclasses will take in place in parallel and aim to give an in-depth overview and hands-on experience on the topic.
Friday November 11
Scientific talks, highlighting recent developments in Inverse Problems from a mathematical and practical point of view. The talks are by invitation, and selected to give a balanced perspective on theory and applications of inverse problems from both junior and senior researchers.
- Email: Tristan van Leeuwen
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iCal
CWI Inverse Problems Seminar - Vanja Nikolic (Radboud U.)
- 2022-07-12T11:00:00+02:00
- 2022-07-12T12:00:00+02:00
CWI Inverse Problems Seminar - Vanja Nikolic (Radboud U.)
Start: 2022-07-12 11:00:00+02:00 End: 2022-07-12 12:00:00+02:00
Relating models of nonlinear acoustics through singular limit analysis
Accurate mathematical modeling of nonlinear sound propagation is relevant in various applications of ultrasonic waves, ranging from imaging to lithotripsy and cancer therapy. In this talk, we will discuss how different (non)local PDE models arising in nonlinear acoustics can be related in the limit of relevant small parameters, such as sound diffusivity and thermal relaxation time. In particular, we will quantify the errors made when replacing (singularly) perturbed acoustic models with unperturbed ones. The talk is based on joint works with Barbara Kaltenbacher (University of Klagenfurt) and Mostafa Meliani (Radboud University).
- Email: Tristan van Leeuwen
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iCal
Members
Associated Members
Publications
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de Jong, J.H.E, Paulssen, H, van Leeuwen, T, & Trampert, J. (2022). Sensitivity kernels for receiver function misfits in a full waveform inversion workflow. Geophysical Journal International, 230(2), 1065–1079. doi:10.1093/gji/ggac098
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Out, F, Cortés-Ortuño, D, Fabian, K, van Leeuwen, T, & de Groot, L.V. (2022). A first-order statistical exploration of the mathematical limits of Micromagnetic Tomography. Geochemistry, Geophysics, Geosystems, 23(4), e2021GC010184.1–e2021GC010184.18. doi:10.1029/2021GC010184
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Schut, D.E. (2022). Trajectory with Overlapping Projections x-ray Computed Tomography (TOP-CT) dataset of 23 mandarins moving over a circular trajectory. doi:10.5281/zenodo.6351647
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Lucka, F, Pérez-Liva, M, Treeby, B.E, & Cox, B.T. (2022). High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion. Inverse Problems, 38(2), 025008.1–025008.39. doi:10.1088/1361-6420/ac3b64
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Longo, E, Alj, D, Batenburg, K.J, de la Rochefoucauld, O, Herzog, C, Greving, I, … Zeitoun, P. (2022). Flexible plenoptic X-ray microscopy. Photonics, 9(2), 98.1–98.13. doi:10.3390/photonics9020098
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Tataris, A, & van Leeuwen, T. (2022). A regularised total least squares approach for 1D inverse scattering. Mathematics, 10(2), 216.1–216.24. doi:10.3390/math10020216
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Bührer, M, Xu, H, Hendriksen, A.A, Büchi, F.N, Eller, J, Stampanoni, M, & Marone, F. (2021). Deep learning based classification of dynamic processes in time-resolved X-ray tomographic microscopy. Nature Scientific Reports, 11. doi:10.1038/s41598-021-03546-8
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Sero, D, Garachon, I, Hermens, E, van Liere, R, & Batenburg, K.J. (2021). The study of three-dimensional fingerprint recognition in cultural heritage: Trends and challenges. ACM Journal on Computing and Cultural Heritage, 14(4). doi:10.1145/3461341
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Bossema, F.G, Domínguez-Delmás, M, Palenstijn, W.J, Kostenko, A, Dorscheid, J, Coban, S.B, … Batenburg, K.J. (2021). A novel method for dendrochronology of large historical wooden objects using line trajectory X-ray tomography. Nature Scientific Reports, 11(1). doi:10.1038/s41598-021-90135-4
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Altantzis, T, Wang, D, Kadu, A.A, van Blaaderen, A, & Bals, S. (2021). Optimized 3D reconstruction of large, compact assemblies of metallic nanoparticles. Journal of Physical Chemistry C, 125(47), 26240–26246. doi:10.1021/acs.jpcc.1c08478
Software
ASTRA Toolbox: Commercial-class software for tomography imaging
The ASTRA Toolbox is a MATLAB and Python platform providing scalable, high-performance GPU primitives for 2D and 3D tomography, including building blocks for advanced reconstruction algorithms.
RECAST3D: a real-time visualization platform for tomographic imaging
RECAST3D provides real-time tomographic reconstruction and visualization of arbitrarily oriented 2D slices in a 3D volume.
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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Cambridge RG99590 AIO cancer imaging optimisation (Cancer Imaging Optimisation)
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the Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX)
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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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Translation-Driven Development of Deep Learning for Simultaneous Tomographic Image Reconstruction and Segmentation (None)
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Deep learning and compressed sensing for ultrasonic nondestructive testin (PPS Applus RTD)
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Team Science Award
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Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA)
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Mathematics and Algorithms for 3D Imaging of Dynamic Processes / OIO positie Graas (Wiskundeclusters)
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Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts (xCTing)
Related partners
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ABN AMRO Bank
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Fraunhofer Gesellschaft
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IBM
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Katholieke Universiteit Nijmegen
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Naturalis
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Netherlands eScience Center
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NIKHEF
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Rijksmuseum Amsterdam
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Universiteit Wageningen
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University of Cambridge
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Nederland Instituut voor Radio Astronomie
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GREEFA
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Katholieke Universiteit Leuven
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Rheinisch-Westfaelische Technische Hochschule Aachen
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SURFsara B.V.
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Universiteit Utrecht
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Universiteit van Amsterdam