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Introduction

机译：介绍

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摘要

This volume results from the eleventh SPIE Conference on Developments in X-ray Tomography, a platform for research teams active in the field of x-ray tomography to exchange ideas and discuss topics on instrumentation, algorithms, and a wide variety of applications that need tomographic characterization. Several thousand x-ray tomography systems are currently operated in clinics, industry, and academia. While fast tomography systems with a spatial resolution down to 10 nm belong to the portfolio of the synchrotron radiation facilities, advanced laboratory systems are becoming closer and closer to delivering the performance of nano-tomography. Alternatives to the conventional attenuation-based imaging are emerging and increasingly more popular in solving real problems. A huge amount of x-ray data requires not only the associated hardware but also state-of-the-art software for reconstruction, artifact compensation, and image analysis. Several technical advancements are pushing the performance envelope of tomography in pathology, wood science, anthropology, etc. It is particularly interesting to generate impressive imagery of unique objects and derive critical features of the three-dimensional structures. In addition, the multi-modal imaging is also important, which very recently incorporates the reciprocal space information or physical/chemical synergy. Finally, machine learning has attracted a significant interest in our community, for not only image analysis but also tomographic reconstruction.
机译：此书是第十一届SPIE X射线断层摄影发展会议的成果，该会议是一个活跃于X射线断层摄影领域的研究团队的平台，可以交流思想并讨论有关仪器，算法和需要断层摄影的各种应用程序的主题。表征。目前在诊所，工业界和学术界中使用了数千个X射线断层扫描系统。尽管空间分辨率低至10 nm的快速层析成像系统属于同步辐射装置的组合，但先进的实验室系统越来越接近提供纳米层析成像的性能。在解决实际问题中，传统的基于衰减的成像的替代方法正在出现，并且越来越流行。大量的X射线数据不仅需要相关的硬件，而且还需要用于重建，伪影补偿和图像分析的最新软件。多项技术进步正在推动层析成像在病理学，木材科学，人类学等领域的性能极限。生成独特物体的令人印象深刻的图像并获得三维结构的关键特征特别有趣。另外，多模态成像也很重要，最近它结合了相互的空间信息或物理/化学协同作用。最后，机器学习不仅对图像分析而且对层析成像重建都引起了我们社区的极大兴趣。

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