Sparse2noise: low-dose synchrotron x-ray tomography without high-quality reference data

X Duan, XF Ding, N Li, FX Wu, X Chen, N Zhu - Computers in Biology and …, 2023 - Elsevier
Background Synchrotron radiation computed tomography (SR-CT) holds promise for high-
resolution in vivo imaging. Notably, the reconstruction of SR-CT images necessitates a large …

Automatic and Computationally Efficient Alignment in Fan-and Cone-beam Tomography

P Guerrero, S Bellens, R Santander… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This work is concerned with fan-and cone-beam computed tomography with circular source
trajectory, where the reconstruction inverse problem requires an accurate knowledge of …

Direct Reconstruction of Wet Foam from Sparse‐View, Dynamic X‐Ray CT Scans

J Renders, L Mancini… - Advanced …, 2024 - Wiley Online Library
X‐ray imaging of wet foam dynamics with a high temporal resolution (eg, 3D videos with a
10 Hz frame rate) requires fast rotation of either the foam sample or the X‐ray gantry. This …

[HTML][HTML] PT4: Phantom-4D, an open-source software tool for creating time-evolving 3D phantoms

S Catsamas, G Myers, A Kingston - Tomography of Materials and …, 2024 - Elsevier
PT4, an open-source software tool to describe time-evolving phantoms is presented. PT4
allows users to create detailed time-evolving phantoms for testing novel 4D-CT …

[PDF][PDF] tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms

D Kumar, DY Parkinson, JJ Donatelli - Journal of Synchrotron …, 2024 - journals.iucr.org
X-ray-based computed tomography is a well established technique for determining the three-
dimensional structure of an object from its two-dimensional projections. In the past few …

Full-length-body CBCT imaging in upright position with robotic-arm system: a simulation study

T Lin, T Lyu, Z Wu, Y Xi, W Zhu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Upright position CT scans make it possible for full-length-body imaging at conditions more
relevant to daily situations, but the substantial weight of the upright CT scanners increases …

HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning

E Valat, L Valat - arXiv preprint arXiv:2304.14412, 2023 - arxiv.org
Machine-learning methods rely on sufficiently large dataset to learn data distributions. They
are widely used in research in X-Ray Computed Tomography, from low-dose scan …

[PDF][PDF] Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?

PSB Jensen, I Lilholm, D Marchant - Proceedings of, 2023 - easychair.org
In this study, we explore the feasibility of identifying file events for any process in real-time
without significant workflow slowdowns, to aid in generating a data provenance report for the …