Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography

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Publication date: 10 February 2021

Abstract: 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 blocks for tailored regularised reconstruction algorithms and explicitly supports multichannel tomographic data. In the first part of this two-part publication, we introduced the fundamentals of CIL. This paper focuses on applications of CIL for multichannel data, e.g., dynamic and spectral. We formalise different optimisation problems for colour processing, dynamic and hyperspectral tomography and demonstrate CIL's capabilities for designing state of the art reconstruction methods through case studies and code snapshots.

Has companion code repository: https://github.com/TomographicImaging/Paper-2021-RSTA-CIL-Part-II

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