Artifact correction of stepping errors and flux fluctuations based on removal algorithm

ZHANG Zun; WANG Zhili

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Artifact correction of stepping errors and flux fluctuations based on removal algorithm

X-ray Optics | 更新时间：2026-01-05

- Artifact correction of stepping errors and flux fluctuations based on removal algorithm
- OPTICAL TECHNIQUE Vol. 51, Issue 6, Pages: 680-689(2025)
- 作者机构：
  
  合肥工业大学物理学院，安徽合肥 230009
- 作者简介：
- 基金信息：
- DOI：
  CLC： O434.1
- Received：19 March 2025，
  
  Revised：2025-07-17，
  
  Published：20 November 2025
- 稿件说明：
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张尊,王志立.基于伪影去除算法的步进误差与通量波动伪影校正[J].光学技术,2025,51(06):680-689.

ZHANG Zun,WANG Zhili.Artifact correction of stepping errors and flux fluctuations based on removal algorithm[J].OPTICAL TECHNIQUE,2025,51(06):680-689.
张尊,王志立.基于伪影去除算法的步进误差与通量波动伪影校正[J].光学技术,2025,51(06):680-689. DOI：

ZHANG Zun,WANG Zhili.Artifact correction of stepping errors and flux fluctuations based on removal algorithm[J].OPTICAL TECHNIQUE,2025,51(06):680-689. DOI：

摘要

Talbot-Lau X射线成像技术凭借其同步获取透射、微分相位及暗场信号的多模态成像能力，在生物医学成像中展现出独特优势。然而，相位步进误差和X射线源通量波动会在重建图像中产生莫尔伪影，降低了图像质量。为了解决这一问题，采用一种基于步进曲线相位与图像伪影相关性的伪影去除算法，并通过模拟实验验证其效果。研究表明，所提算法可以有效地消除由步进误差和通量波动导致的伪影，同时还能保留图像的真实信息。此外，通过分析噪声水平、拟合区域及莫尔条纹形态，进一步验证了该算法在不同实验条件下的稳定性，具有较高的实际应用价值。

Abstract

Talbot-Lau X-ray imaging technology exhibits unique advantages in biomedical imaging by enabling simultaneous acquisition of transmission

differential phase

and dark-field signals. However

phase stepping errors and X-ray source flux fluctuations induce moiré artifacts in reconstructed images

degrading image quality. To address this issue

an artifact removal algorithm based on the correlation between the phase of the stepping curve and image artifacts is adopted

and its effectiveness is verified through simulation experiments. Experimental results demonstrate that the proposed algorithm can effectively eliminate artifacts caused by stepping errors and flux fluctuations while preserving the true information in images. Furthermore

by analyzing noise levels

fitting regions

and moiré fringe patterns

the algorithm's stability under different experimental conditions is validated

highlighting its high practical application value.

关键词

Keywords

references

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