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 regularized 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 formalize different optimization 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.

This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 2’.

新开发的核心成像库（CIL）是一个灵活的即插即用库，用于断层成像，特别注重迭代重建。CIL 为定制的正则化重建算法提供构建块，并明确支持多通道断层扫描数据。在这份由两部分组成的出版物的第一部分中，我们介绍了 CIL 的基础知识。本文重点关注 CIL 在多通道数据（例如动态数据和频谱数据）中的应用。我们形式化了颜色处理、动态和高光谱断层扫描的不同优化问题，并通过案例研究和代码快照展示了 CIL 设计最先进的重建方法的能力。

本文是主题“协同断层扫描图像重建：第 2 部分”的一部分。