Development of a truncation artifact reduction method in stationary inverse-geometry X-ray laminography for non-destructive testing

被引:4
|
作者
Kim, Burnyoung [1 ]
Yim, Dobin [1 ]
Lee, Seungwan [1 ,2 ]
机构
[1] Konyang Univ, Dept Med Sci, 158 Gwanjeodong Ro, Daejeon 35365, South Korea
[2] Konyang Univ, Coll Med Sci, Dept Radiol Sci, 158 Gwanjeodong Ro, Daejeon 35365, South Korea
基金
新加坡国家研究基金会;
关键词
Non-destructive testing; Stationary inverse-geometry X-ray; laminography; Truncation artifact; Projection data correction; Artifact reductionss; COMPUTED LAMINOGRAPHY;
D O I
10.1016/j.net.2020.11.021
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
In an industrial field, non-destructive testing (NDT) is commonly used to inspect industrial products. Among NDT methods using radiation sources, X-ray laminography has several advantages, such as high depth resolution and low computational costs. Moreover, an X-ray laminography system with stationary source array and compact detector is able to reduce mechanical motion artifacts and improve inspection efficiency. However, this system, called stationary inverse-geometry X-ray laminography (s-IGXL), causes truncation artifacts in reconstructed images due to limited fields-of-view (FOVs). In this study, we proposed a projection data correction (PDC) method to reduce the truncation artifacts arisen in s-IGXL images, and the performance of the proposed method was evaluated with the different number of focal spots in terms of quantitative accuracy. Comparing with conventional techniques, the PDC method showed superior performance in reducing truncation artifacts and improved the quantitative accuracy of s-IGXL images for all the number of focal spots. In conclusion, the PDC method can improve the accuracy of s-IGXL images and allow precise NDT measurements. (c) 2020 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1626 / 1633
页数:8
相关论文
共 50 条
  • [1] Reduction of truncation artifact in stationary inverse-geometry digital tomosynthesis using convolutional neural network
    Kim, Burnyoung
    Yim, Dobin
    Lee, Seungwan
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [2] X-ray shearing interferometer for non-destructive testing
    Iwata, K
    Tadano, H
    Kikuta, H
    Hagino, H
    Nakano, T
    EXPERIMENTAL MECHANICS, VOLS 1 AND 2: ADVANCES IN DESIGN, TESTING AND ANALYSIS, 1998, : 741 - 745
  • [3] Dynamic X-ray Flux Modulation of Inverse-Geometry CT
    Shen, Liuxing
    Windsor, Haydon
    Zhou, Shuang
    Jiang, Hao
    Zhang, Tiezhi
    MEDICAL IMAGING 2024: PHYSICS OF MEDICAL IMAGING, PT 1, 2024, 12925
  • [4] Preliminary study on optimization of the stationary inverse-geometry digital tomosynthesis: X-ray source array
    Kim, Burnyoung
    Eom, Jisoo
    Kim, Wonhyung
    Lee, Seungwan
    MEDICAL IMAGING 2019: PHYSICS OF MEDICAL IMAGING, 2019, 10948
  • [5] Artifact reduction in non-destructive testing by means of complementary data fusion of x-ray computed tomography and ultrasonic pulse-echo testing
    Schrapp, Michael
    Scharrer, Thomas
    Goldammer, Matthias
    Rupitsch, Stefan J.
    Sutor, Alexander
    Ermert, Helmut
    Lerch, Reinhard
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (12)
  • [6] Non-destructive X-Ray testing of complex mechanisms and devices
    Ozdiev, Ali
    Kryuchkov, Yury
    Kroning, Hans-Michael
    V INTERNATIONAL FORUM FOR YOUNG SCIENTISTS SPACE ENGINEERING, 2017, 102
  • [7] On the Response of a Micro Non-Destructive Testing X-ray Detector
    Linardatos, Dionysios
    Koukou, Vaia
    Martini, Niki
    Konstantinidis, Anastasios
    Bakas, Athanasios
    Fountos, George
    Valais, Ioannis
    Michail, Christos
    MATERIALS, 2021, 14 (04) : 1 - 14
  • [8] Non-destructive testing method for chip warpage Applications of Synchrotron Radiation X-ray
    Hsu, Hsueh-Hsien
    Wangs, Chang-Meng
    Lee, Hsin-Yi
    Wu, Albert T.
    2016 International Conference on Electronics Packaging (ICEP), 2016, : 15 - 18
  • [9] X-ray based methods for non-destructive testing and material characterization
    Hanke, Randolf
    Fuchs, Theobald
    Uhlmann, Norman
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2008, 591 (01): : 14 - 18
  • [10] Automatic forgery detection for x-ray non-destructive testing of welding
    Fan Zhang
    Boyan Zhang
    Xinhong Zhang
    Welding in the World, 2022, 66 : 673 - 684