Preliminary Study on Noise and Artifact Reduction in Phase-Contrast CT Image of Tristructural-Isotropic Coated Fuel Particle

PENG Ya-hui; CAO Xu-yang; CHEN Hou-jin; LI Yan-feng; LI Ju-peng; WANG Xian-gang

doi:10.3969/j.issn.0372-2112.2019.02.027

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Preliminary Study on Noise and Artifact Reduction in Phase-Contrast CT Image of Tristructural-Isotropic Coated Fuel Particle

更新时间：2025-07-16

- Preliminary Study on Noise and Artifact Reduction in Phase-Contrast CT Image of Tristructural-Isotropic Coated Fuel Particle
- Acta Electronica Sinica Vol. 47, Issue 2, Pages: 448-453(2019)
- 作者机构：
  
  1. 北京交通大学,北京,100044
  2. 清华大学,北京,100086
  3. 北京交通大学,北京,100044
  4. 清华大学,北京,100086
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.11575095, No.61571262)
- DOI：10.3969/j.issn.0372-2112.2019.02.027
  CLC： TP317.4
- Published Online：25 February 2019，
  
  Published：2019
- 稿件说明：
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PENG Ya-hui, CAO Xu-yang, CHEN Hou-jin, et al. Preliminary Study on Noise and Artifact Reduction in Phase-Contrast CT Image of Tristructural-Isotropic Coated Fuel Particle[J]. Acta Electronica Sinica, 2019, 47(2): 448-453.
DOI：

PENG Ya-hui, CAO Xu-yang, CHEN Hou-jin, et al. Preliminary Study on Noise and Artifact Reduction in Phase-Contrast CT Image of Tristructural-Isotropic Coated Fuel Particle[J]. Acta Electronica Sinica, 2019, 47(2): 448-453. DOI： 10.3969/j.issn.0372-2112.2019.02.027.

摘要

对三结构各向同性包覆燃料颗粒相衬CT图像的噪声和伪像抑制进行了初步探索，提出了三种方法分别抑制由探测器随机噪声、非线性漂移以及灵敏度非均匀性所导致的图像噪声或伪像.对抑制噪声或伪像前后的图像质量进行了主观评价以及定量分析，结果表明，本文提出的三种方法在有效抑制上述三种类型噪声或伪像的同时仍然能够保证重建图像中不同结构间边缘的清晰度.

Abstract

The purpose of the study was to reduce the noise and artifact in the phase-contrast computed tomography image of a tristructural-isotropic coated fuel particle.Three algorithms were proposed to reduce the noise and artifacts caused by the stochastic noise

non-linear drifting

and non-uniform sensitivity of the imaging detector

respectively.Subjective and quantitative evaluations were conducted before and after applying the algorithms.The results demonstrated that the proposed algorithms effectively reduced the three types of noise and artifacts

leaving the boundaries between different structures intact.

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