Preprint article · Journal article
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Karlsruhe Institute of Technology3
University of Manchester4
Rutherford Appleton Laboratory5
University College London6
We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional filtered back-projection reconstruction tends to be insufficient for highly noisy, incomplete, non-standard or multi-channel data arising for example in dynamic, spectral and in situ tomography.
CIL provides an extensive modular optimization framework for prototyping reconstruction methods including sparsity and total variation regularization, as well as tools for loading, preprocessing and visualizing tomographic data. The capabilities of CIL are demonstrated on a synchrotron example dataset and three challenging cases spanning golden-ratio neutron tomography, cone-beam X-ray laminography and positron emission tomography.
This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.
Language: | English |
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Publisher: | The Royal Society Publishing |
Year: | 2021 |
Pages: | 20200192 |
ISSN: | 14712962 and 1364503x |
Types: | Preprint article and Journal article |
DOI: | 10.1098/rsta.2020.0192 |
ORCIDs: | Jørgensen, Jakob Sauer , 0000-0002-8867-3001 , 0000-0001-6867-9628 , 0000-0003-2388-5211 , 0000-0002-1820-9916 , 0000-0001-6957-2160 , 0000-0002-5514-199X , 0000-0003-0117-8049 , 0000-0002-7904-0560 , 0000-0003-0971-4678 and 0000-0002-1946-5647 |
65F10 65K10 65R32 Algorithms Data Interpretation, Statistical Databases, Factual Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Neutrons Positron-Emission Tomography Radiographic Image Interpretation, Computer-Assisted Synchrotrons Tomography Tomography, X-Ray Computed computed tomography convex optimization cs.MS image reconstruction math.OC software