Projects per year
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'.
Original language | English |
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Article number | 20200192 |
Journal | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Volume | 379 |
Issue number | 2204 |
DOIs | |
Publication status | Published - 23 Aug 2021 |
Keywords
- Algorithms
- Data Interpretation, Statistical
- Databases, Factual/statistics & numerical data
- Humans
- Image Interpretation, Computer-Assisted/statistics & numerical data
- Imaging, Three-Dimensional/statistics & numerical data
- Neutrons
- Positron-Emission Tomography/statistics & numerical data
- Radiographic Image Interpretation, Computer-Assisted/statistics & numerical data
- Software
- Synchrotrons
- Tomography, X-Ray Computed/statistics & numerical data
- Tomography/statistics & numerical data
Fingerprint
Dive into the research topics of 'Core Imaging Library - Part I: a versatile Python framework for tomographic imaging'. Together they form a unique fingerprint.Projects
- 3 Finished
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Next Generation Multi-Dimensional X-ray Imaging
Withers, P., Burke, G., Cernik, R., Haigh, S., Lee, P. & Lionheart, W.
1/02/15 → 31/01/20
Project: Research
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Structural Evolution across multiple time and length scales
Withers, P., Cartmell, S., Cernik, R., Derby, B., Eichhorn, S., Freemont, A., Hollis, C., Mummery, P., Sherratt, M., Thompson, G. & Watts, D.
1/06/11 → 31/05/16
Project: Research