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Noise analysis of grating-based x-ray differential phase-contrast imaging with angular signal radiography

机译:角信号射线照相的基于光栅的X射线微分相衬成像的噪声分析

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摘要

X-ray phase-contrast imaging is one of the novel techniques,and has potential to enhance image quality and provide the details of inner structures nondestructively.In this work,we investigate quantitatively signal-to-noise ratio (SNR) of grating-based x-ray phase contrast imaging (GBPCI) system by employing angular signal radiography (ASR).Moreover,photon statistics and mechanical error that is a major source of noise are investigated in detail.Results show the dependence of SNR on the system parameters and the effects on the extracted absorption,refraction and scattering images.Our conclusions can be used to optimize the system design for upcoming practical applications in the areas such as material science and biomedical imaging.
机译:X射线相衬成像是一种新颖的技术,具有提高图像质量和无损提供内部结构细节的潜力。在这项工作中,我们定量研究了基于光栅的信噪比(SNR)利用角信号射线照相(ASR)进行X射线相衬成像(GBPCI)系统。此外,详细研究了作为主要噪声源的光子统计和机械误差。我们的结论可用于优化系统设计,以适合材料科学和生物医学成像等领域的实际应用。

著录项

  • 来源
    《中国物理:英文版》 |2017年第4期|138-143|共6页
  • 作者单位

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

    Shanghai United Imaging Healthcare Co.Ltd., Shanghai 201807, China;

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

    Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;

    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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