San Diego Convention Center
San Diego, California, United States
11 - 15 August 2019
Conference OP318
Developments in X-Ray Tomography XII
Tuesday - Thursday 13 - 15 August 2019
This conference is no longer accepting submissions.
Late submissions may be considered subject to chair approval. For more information, please contact Matt Novak.
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Abstract Due:
30 January 2019

Author Notification:
8 April 2019

Manuscript Due Date:
17 July 2019

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Conference Chairs
  • Bert Müller, Univ. Basel (Switzerland)
  • Ge Wang, Rensselaer Polytechnic Institute (United States)

Program Committee
Program Committee continued...
  • Julia Herzen, Technische Univ. München (Germany)
  • Atsushi Momose, Tohoku Univ. (Japan)
  • Françoise Peyrin, Ctr. de Recherche en Acquisition et Traitement d'images pour la Sante (France)
  • Stuart R. Stock, Northwestern Univ. (United States)

Call for
The conference is a platform for researchers and development teams active in the field of hard x-ray tomography to exchange on recent developments in instrumentation, effective algorithms, and the wide variety of non-destructive three-dimensional characterization studies. Several thousand x-ray tomography systems are currently operated in clinics, industry, and academia. While fast tomography systems with a spatial resolution down to 10 nm belong to the portfolio of the synchrotron radiation facilities, advanced laboratory systems are becoming closer and closer to delivering the performance of nano-tomography. Alternatives to the conventional attenuation contrast imaging are becoming available in an increasing number of laboratories. A huge amount of generated data requires not only the associated hardware but also state-of-the-art software for image reconstruction and three-dimensional image analysis. Several technical advancements are pushing applications of tomography in pathology, tissue engineering, anthropology, etc. It is increasingly common to extend the generation of impressive imagery of unique objects by deriving relevant quantities on the three-dimensional structures. In addition, the multi-modal imaging, which recently incorporates the reciprocal space information, is starting to play an increasing role. The Developments in X-ray Tomography conference series warmly welcomes PhD-students and postdoctoral fellows working in the field. In order to further support their career development, we will recognize and award the best poster and the best oral presentation presented by a PhD-student as first author. This conference will again encourage interdisciplinary discussions on x-ray tomography. Scientists and experts are openly invited from medicine/dentistry, biology, earth and materials science, crystallography, solid-state and soft-matter physics, chemistry, computer sciences, engineering and applied mathematics to present results on instrumentation, algorithm developments, and three-dimensional x-ray imaging. Papers are solicited on the following and related topics: 

Alternatives to conventional attenuation-based tomography
    Phase tomography using single- and multiple gratings, edges, crystals and in-line approaches; three-dimensional reciprocal space techniques including scattering; pros and cons of x-ray optics in tomographic imaging, spectral imaging.
Recent advances in x-ray sources and detector technology
    Liquid metal sources in tomography, compact light sources, photon-counting spectral detection units, dual-energy detection.
Characterization and optimization of CT-systems
    Quantitative characterization of x-ray sources, sample manipulators, detection units and reconstruction algorithms; choice of photon energy and photon statistics for phase and absorption modes; quality assurance concerning sample and CT imaging.
Improved algorithms for reconstruction and image analysis
    Image reconstruction; artifact correction; automatic segmentation for diagnosis; benefit from dual-energy and spectral CT-systems; segmentation for diagnosis; (mineral) density measurements.
Machine learning/deep learning for reconstruction and image analysis
    Neural network-based algorithms for iterative reconstruction; three-dimensional segmentation and registration; detection, classification, and quantification of porous media; phase-retrieval algorithms; handling of big data.
Micro- and nano-tomography of human tissues
    Brain imaging; imaging of scaffolds and cells in tissue engineering / regenerative medicine; characterization of human tissues in health and disease.
Non-destructive characterization of unique objects
    Paleontology; museum science, anthropology, insects and plants, and further applications; implementation of temperature and mechanical loading to samples.
Added value of combining x-ray tomography with other methods
    Multi-modal imaging; joint histogram analysis; registration-based segmentation; hierarchical imaging, workflow integration and optimization.
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