Image Reconstruction Algorithm for High-Speed Rotating Object Computed Tomography

CHEN De-feng; YU Ping; ZHANG Peng

doi:10.3969/j.issn.0372-2112.2015.09.016

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Image Reconstruction Algorithm for High-Speed Rotating Object Computed Tomography

更新时间：2025-07-16

- Image Reconstruction Algorithm for High-Speed Rotating Object Computed Tomography
- Acta Electronica Sinica Vol. 43, Issue 9, Pages: 1786-1792(2015)
- 作者机构：
  
  1. 首都师范大学数学科学学院,北京,100048
  2. 检测成像北京高校工程研究中心,北京,100048
  3. 首都师范大学数学科学学院,北京,100048
  4. 检测成像北京高校工程研究中心,北京,100048
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61127003, No.61371195, No.61401289);Beijing Collaborative Innovation Center for Interdisciplinary Science of Mathematics and Information
- DOI：10.3969/j.issn.0372-2112.2015.09.016
  CLC： TN911.23
- Published：2015
- 稿件说明：
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CHEN De-feng, YU Ping, ZHANG Peng. Image Reconstruction Algorithm for High-Speed Rotating Object Computed Tomography[J]. Acta Electronica Sinica, 2015, 43(9): 1786-1792.
DOI：

CHEN De-feng, YU Ping, ZHANG Peng. Image Reconstruction Algorithm for High-Speed Rotating Object Computed Tomography[J]. Acta Electronica Sinica, 2015, 43(9): 1786-1792. DOI： 10.3969/j.issn.0372-2112.2015.09.016.

摘要

高速旋转物体的CT成像是难点问题

相关研究论文较少.由于CT检测系统的单幅投影的数据采集时间无法足够短

导致无法采集高速旋转物体准静止的CT扫描数据

从而使得基于逐条射线的经典CT成像模型不再适用于高速旋转物体CT成像.本文针对高速旋转物体CT

给出了数据采集准则

建立了射线混叠CT成像模型

并提出了相应迭代重建算法.仿真数据和实际数据的实验结果表明

本文提出的方法可以较好地对高速旋转物体进行CT成像.

Abstract

The computed tomography (CT) for high-speed rotating objects is a difficult problem.There are few papers published on this topic.Because the scanning time of CT systems is not short enough to capture the quasi-static projection data of a high-speed rotating object

the traditional ray-by-ray-based CT imaging model is not applicable.In this paper

we present a principle of choosing data sampling time

establish a ray-overlapped CT imaging model for high-speed rotating objects

and propose a related iterative reconstruction algorithm.Both simulation and realistic experiment results show that the proposed method can effectively reconstruct the image of high-speed rotating objects.

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