基于相位线积分恢复的锥束差分相衬CT图像重建

傅健; 李晨

doi:10.3788/OPE.20152313.0491

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基于相位线积分恢复的锥束差分相衬CT图像重建

更新时间：2020-08-13

- 基于相位线积分恢复的锥束差分相衬CT图像重建
- Image reconstruction of cone-beam differential phase contrast CT using phase line integral retrieval
- 光学精密工程 2015年23卷第10z期页码：491-496
- 作者机构：
  
  北京航空航天大学机械工程及自动化学院北京,100083
- 作者简介：
- 基金信息：
  
  国家自然科学基金委员会-中国科学院大科学装置联合基金资助项目(No.11179009,U1432101)();北京市自然科学基金资助项目(No.7152088)();教
- DOI：10.3788/OPE.20152313.0491
  中图分类号： TP391;TG115.281
- 收稿日期：2015-04-05，
  
  修回日期：2015-05-01，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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傅健, 李晨,. 基于相位线积分恢复的锥束差分相衬CT图像重建[J]. 光学精密工程, 2015,23(10z): 491-496

FU Jian, LI Chen,. Image reconstruction of cone-beam differential phase contrast CT using phase line integral retrieval[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 491-496
傅健, 李晨,. 基于相位线积分恢复的锥束差分相衬CT图像重建[J]. 光学精密工程, 2015,23(10z): 491-496 DOI： 10.3788/OPE.20152313.0491.

FU Jian, LI Chen,. Image reconstruction of cone-beam differential phase contrast CT using phase line integral retrieval[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 491-496 DOI： 10.3788/OPE.20152313.0491.

摘要

针对X射线锥束差分相位衬度CT图像的重建

提出了一种基于傅里叶变换微分性质与FDK算法框架的重建技术。基于该技术

差分相衬CT可与现有吸收衬度CT共享相关的重建软、硬件平台。该技术利用提出的相位线积分滤波函数对面阵探测器在每个周向旋转采样视角下采集的二维差分相衬投影逐行滤波

获得物体相位函数的线积分锥束投影数据集。然后

将X射线吸收衬度锥束CT采用的FDK算法应用到恢复的线积分锥束投影数据集

重建物体三维相位图像。最后

基于三维Shepp-Logan模型

对提出的重建技术进行了仿真研究和性能分析。以塑料小球样品的X射线锥束差分相位衬度实验数据集实验验证了该方法的有效性

并与传统方法进行了比较。结果显示新方法归一化均方根重建误差小于0.2586;重建精度高于直接重建88%

满足X射线锥束差分相衬CT高精度图像重建要求。

Abstract

For the image reconstruction of an X-ray cone-beam differential phase contrast CT

a reconstruction technique based on the derivative property of Fourier transform and the FDK algorithm frame was proposed. By which the X-ray cone-beam differential phase contrast CT and absorption-based CT could share the reconstruction software and hardware. On the basis of the phase line integral filter function

the two dimensional differential contrast projection captured by an area array sensor at each rotation sampling view angle was filtered row by row

and the line integral cone-beam projection dataset of phase function for an object was obtained. Then three dimensional phase contrast CT images were reconstructed by applying the classical absorption-based FDK algorithm to the retrieved dataset. With the well-known three dimensional Shepp-Logan phantom

a numerical simulation was performed to validate the proposed method. Finally

the experimental reconstruction was verified by the dataset of a plastic sphere sample and compared with the current methods. Experimental results indicate that normalized root square error of the new method is less than 0.2586 and the reconstruction accuracy is improved by 88%. It satisfies the high-accuracy reconstruction requirements of X-ray cone-beam differential phase contrast CT.

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references

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