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A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL)
Jakob Sauer Jørgensen, Evangelos Papoutsellis, Laura Murgatroyd +2
This article presents the algorithms developed by the Core Imaging Library (CIL) developer team for the Helsinki Tomography Challenge 2022. The challenge focused on reconstructing…
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Ryan Warr, Evelina Ametova, Robert J. Cernik +6
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (800 eV), applying it for the first time to map the distrib…
Crystalline phase discriminating neutron tomography using advanced reconstruction methods
Evelina Ametova, Genoveva Burca, Suren Chilingaryan +8
Time-of-flight neutron imaging offers complementary attenuation contrast to X-ray computed tomography (CT), coupled with the ability to extract additional information from the vari…
Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography
Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke +7
The newly developed Core Imaging Library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building…