9 places available
(Morning) Hands-on introduction to the CCPi Core Imaging Library (CIL)
Morning Session
The Core Imaging Library (CIL) is an open-source Python framework for tomographic imaging with particular emphasis on the reconstruction of challenging datasets. This includes highly noisy, incomplete, non-standard and multi-channel data such as in dynamic, spectral and in situ tomography, where reconstruction by filtered back-projection tends to work poorly.
CIL provides state-of-the-art iterative reconstruction algorithms, pre-processing and visualization tools as well as readers for some of the common micro-CT data formats. CIL is developed by the Collaborative Computational Project in Tomographic Imaging (CCPi) and is available from https://www.ccpi.ac.uk/cil.
In this three-hour hands-on training course you will
- get an overview of CIL and how to get started,
- learn to load in and process micro-CT data (e.g. Nikon and Zeiss),
- produce and display your very own reconstructions using CIL,
- appreciate the pros and cons of iterative reconstruction when compared to filtered back-projection,
- experiment with different iterative reconstruction algorithms.
CIL provides state-of-the-art iterative reconstruction algorithms, pre-processing and visualization tools as well as readers for some of the common micro-CT data formats. CIL is developed by the Collaborative Computational Project in Tomographic Imaging (CCPi) and is available from https://www.ccpi.ac.uk/cil.
In this three-hour hands-on training course you will
- get an overview of CIL and how to get started,
- learn to load in and process micro-CT data (e.g. Nikon and Zeiss),
- produce and display your very own reconstructions using CIL,
- appreciate the pros and cons of iterative reconstruction when compared to filtered back-projection,
- experiment with different iterative reconstruction algorithms.