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arXiv · 2601.00552

Tabletop X-ray ghost video of moving objects

Hui Zeng·Ming-Fei Li·Zhi-Yue Yu·Bing-Zhan Shi·Xiao-Jing Wu·Jie Feng·Jin-Guang Wang·Yi-Fei Li·Ling-An Wu·Jian-Hong Shi·Li-Ming Chen
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Abstract

X-ray imaging is widely employed in clinical medicine, industrial inspection, and various scientific research fields. Unfortunately, most currently used X-ray two-dimensional (2D) detectors suffer from a fundamental trade-off between the number of pixels and readout time, making them unsuitable for fast moving objects imaging, as well as the readout dead time causes frame losses. X-ray ghost imaging (XGI) offers an alternative approach to image an object using only a highly sensitive single-pixel detector. However, a critical limitation of existing XGI methods is the excessive total acquisition time required, rendering it impractical for real applications. In this paper, we propose a rapid spatial modulation scheme based on random binary patterns encoded onto a fast-spinning mask. Clear X-ray visualization of moving objects is demonstrated with imaging rates up to 200 frames per second with a resolution of 225 um. For the first time, our method has greatly improved the XGI imaging speed and paves the way for X-ray imaging application of motion objects, such as the inspection of rotating aero-engines and in vivo medical imaging.

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Hui Zeng, Ming-Fei Li, Zhi-Yue Yu, Bing-Zhan Shi, Xiao-Jing Wu, Jie Feng, Jin-Guang Wang, Yi-Fei Li, Ling-An Wu, Jian-Hong Shi, Li-Ming Chen. 2026-01-02. Tabletop X-ray ghost video of moving objects. https://arxiv.org/abs/2601.00552

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