Single-shot grating-based X-ray phase contrast imaging via generative adversarial network

Xu, Yueshu; Tao, Siwei; Bian, Yinxu; Bai, Ling; Tian, Zonghan; Hao, Xiang; Kuang, Cuifang; Liu, Xü

doi:10.1016/j.optlaseng.2022.106960

Cited by 7 publications

(1 citation statement)

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“…Although it requires only a single exposure image, it results in a loss of half the spatial resolution of the detector used [19]. With the development of deep learning technology, this approach has been applied to single-shot X-ray phase-contrast imaging [20,21]. In the field of visible light imaging, it is relatively straightforward to collect the necessary dataset for the algorithm; however, X-ray imaging poses challenges.…”

Section: Introductionmentioning

confidence: 99%

Single-Shot Phase-Contrast Imaging with a Single Grating

Liu,

Huang

et al. 2023

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In the field of X-ray phase-contrast imaging, a time-saving approach and preservation of details are crucial factors for obtaining phase-contrast images. In this manuscript, a single grating imaging system is proposed to perform the X-ray phase-contrast imaging. Instead of the time-consuming phase-stepping method, this system uses a single-shot algorithm to retrieve the distribution of samples’ attenuation and phase gradient. Unlike the single-shot Fourier transform algorithm, which truncates the high-frequency component of the image and reduces the spatial resolution, our method can retrieve the attenuation and phase information images with the same spatial resolution as the images acquired directly by the X-ray detector used. Furthermore, by using a large-size X-ray detector (29 cm × 23 cm), the imaging system can be configured as either a microscopic instrument or a normal large field-of-view imaging system. Finally, a series of experiments were performed to validate the feasibility of the proposed method.

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Section: Introductionmentioning

confidence: 99%