核心成像库--第II部分：动态和光谱断层扫描的多通道重建
Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography
摘要：
新开发的核心成像库（CIL）是一个灵活的即插即用的断层成像库，特别关注迭代重建。CIL为定制的正则化重建算法提供了构建模块，并明确支持多通道断层扫描数据。在这本由两部分组成的出版物的第一部分中，我们介绍了CIL的基本原理。本文重点介绍了CIL在多通道数据中的应用，例如，动态和光谱。我们正式的颜色处理，动态和高光谱断层扫描不同的优化问题，并通过案例研究和代码快照展示CIL的设计能力，最先进的重建方法。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
