Jørgensen, JS;
Ametova, E;
Burca, G;
Fardell, G;
Papoutsellis, E;
Pasca, E;
Thielemans, K;
... Withers, PJ; + view all
(2021)
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 379
(2204)
, Article 20200192. 10.1098/rsta.2020.0192.
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Abstract
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’.
| Type: | Article |
|---|---|
| Title: | Core Imaging Library - Part I: a versatile Python framework for tomographic imaging |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1098/rsta.2020.0192 |
| Publisher version: | https://doi.org/10.1098/rsta.2020.0192 |
| Language: | English |
| Additional information: | © 2021 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
| Keywords: | Computed tomography, X-ray CT, convex optimization, software, image reconstruction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10130962 |
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