As a follow-up to the first IEEE Transactions on Medical Imaging (TMI) special issue on the theme of deep tomographic reconstruction, the second special issue is assembled to reflect the status and momentum of this rapidly emerging field. In this editorial, we provide a brief background illustrating the motivation for the development of network-based, data-driven, and learning-oriented reconstruction methods, summarize the included papers, and report our verification of the shared deep learning codes. Finally, we discuss several important research topics to facilitate further investigation and collaboration.

中文翻译：

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《深度断层图像重建：昨天、今天和明天》第二期特刊《图像重建的机器学习》杂志


作为首届 IEEE 医学影像学报 (TMI) 以深度断层重建为主题的特刊的后续，第二期特刊旨在反映这一快速新兴领域的现状和势头。在这篇社论中，我们提供了简要的背景说明，说明了开发基于网络、数据驱动和面向学习的重建方法的动机，总结了所包含的论文，并报告了我们对共享深度学习代码的验证。最后，我们讨论了几个重要的研究主题，以促进进一步的调查和合作。