Developments in X-Ray Tomography XV

This conference is a platform for researchers active in the field of X-ray-based three-dimensional imaging to exchange on the latest progresses in instrumentation, algorithms, and applications. Thousands of X-ray computed tomography systems are currently operated in clinics, industry, and academia. While conventional attenuation-based imaging is still dominant, alternative and complementary contrast mechanisms are being actively developed and applied. The generated big datasets require state-of-the-art methods for image reconstruction and analysis. Several technical advancements are enabling or pushing applications of tomography in pathology, tissue engineering, anthropology, etc. It is increasingly common to produce impressive imagery of unique objects and derive relevant features of the underlying structures and dynamics. Multi-modal imaging, which includes synergistic and reciprocal information, has started playing an important role. The conference encourages interdisciplinary discussions and collaborations. Researchers and users are openly invited from medicine/dentistry, biology, earth and materials science, crystallography, solid-state and soft-matter physics, chemistry, computer science, engineering, and applied mathematics to present results on system and component developments, algorithmic design and optimization, performance evaluation and validation, as well as tomographic experiments and workflows. Papers are solicited on the following and related topics:

Development of X-ray source technology

• Structured emission sources
• Multi-component anodes
• Liquid metal and compact light sources
• Next-generation synchrotron radiation facilities

X-ray optics for nano-tomography

• X-ray optics for magnification
• Combination of refractive and diffractive lenses with reduced chromatic aberration

Recent advances in X-ray detector technology

• Photon-counting spectral detectors
• Virtual mono-energy imaging
• Radiation dose reduction

Algorithms for reconstruction, artefact correction, and image analysis

• Image reconstruction; artifact correction
• Automatic segmentation
• Dual-energy and spectral CT
• Phase retrieval
• Density measurements including biominerals

Deep learning for reconstruction and image analysis

• Image reconstruction from noisy, incomplete and inconsistent data
• Three-dimensional image analysis
• Detection, classification, and quantification of porous media
• Management and mining of big data

Modeling and simulation for X-ray-based tomography

• Optimization of imaging protocols
• Predictions on contrast and spatial resolution
• Modeling of photon energy and photon statistics

Non-destructive characterization of unique objects

• Paleontology
• Museum science
• Anthropology
• Insects and plants, and niche applications
• Implementation of temperature control and mechanical loading to samples

Micro- and nano-tomography in biomedicine

• Brain imaging
• Imaging in regenerative medicine
• Characterization of soft and hard tissues in health and disease

Added value of combining X-ray tomography with other methods

• Multi-modal imaging
• Registration-based segmentation of dynamic processes
• Hierarchical imaging and interior tomography

Open Science and sustainability

• Meta-data
• Data repositories
• Standards
• Energy-efficient strategies for big data management and large model implementation