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.

中文翻译：

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核心成像库-第二部分：动态和光谱层析成像的多通道重建

新开发的Core Imaging Library（CIL）是用于层析成像的灵活即插即用库，特别侧重于迭代重建。CIL为定制的正则化重建算法提供了构建基块，并明确支持多通道层析成像数据。在这个分为两部分的出版物的第一部分中，我们介绍了CIL的基础。本文重点介绍CIL在多通道数据（例如动态和频谱）中的应用。我们将色彩处理，动态和高光谱层析成像的各种优化问题形式化，并通过案例研究和代码快照展示CIL设计最新技术的方法的能力。