ISSN 1004-4140
CN 11-3017/P
ZHANG Shu-ming, HU Yu-guang, SHI Yuan-ding, CHEN Zhi-cheng, LIU Li. Development of Image Reconstruction Algorithms for Synchrotron Radiation[J]. CT Theory and Applications, 2007, 16(2): 8-13.
Citation: ZHANG Shu-ming, HU Yu-guang, SHI Yuan-ding, CHEN Zhi-cheng, LIU Li. Development of Image Reconstruction Algorithms for Synchrotron Radiation[J]. CT Theory and Applications, 2007, 16(2): 8-13.

Development of Image Reconstruction Algorithms for Synchrotron Radiation

More Information
  • Received Date: January 31, 2007
  • Available Online: December 16, 2022
  • Our purpose was to evaluate two different reconstruction algorithms applied in micro-radiological imaging using synchrotron radiation.In our experiment,a bird feather was imaged by the synchrotron radiation and projections were acquired by high resolution X-ray camera.All equipments are supported by the Synchrotron Radiation Research Center located in scientific park in Hsinchu,Taiwan.In this work,filtered back-projection (FBP) and gradient-based maximum-likelihood algorithms (ML algorithm) were applied to reconstruct synchrotron tomographic images for comparison.An edge blurring is shown in results of the ML reconstructed image.Ring artifacts are more obvious in the image reconstructed by the FBP as compared to that of the ML algorithm.The FBP can do fast reconstruction,but the ML algorithm can reduce noise and artifacts.Thus,the two algorithms show very different characteristics.
  • Related Articles

    [1]HU Hai, SUN Xueqin, LI Yihong, CHEN Ping. Dual-View CT Reconstruction Algorithm Based on Gradient Information Constraints[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.116
    [2]WANG Runhua, WANG Haipeng, LI Jianli, WANG Jinxiu, LI Kunjie, Y. S. Yang. Characterization of Pore Distribution of the Anthracite Coal Sample Based on Synchrotron Radiation X-ray CT[J]. CT Theory and Applications, 2021, 30(6): 691-700. DOI: 10.15953/j.1004-4140.2021.30.06.04
    [3]WANG Jing-yu, HAN Yu, LI Lei, XI Xiao-qi, SUN Yan-min, YAN Bin. A Novel Reconstruction Algorithm Based-on Projection Transformation for the Rotational Cone-beam CL[J]. CT Theory and Applications, 2017, 26(5): 575-582. DOI: 10.15953/j.1004-4140.2017.26.05.06
    [4]CHEN Zhong, LIANG Jia-hui, ZHANG Xian-min. Method and Experiments on Slice Reconstruction of Plate-like Component Based on X-ray Laminography[J]. CT Theory and Applications, 2014, 23(4): 579-589.
    [5]QUE Jie-min, WANG Yan-fang, SUN Cui-li, WEI Cun-feng, SHI Rong-jian, WEI Long. Comparison of Four Iterative Algorithm Based on Incomplete Projection Reconstruction[J]. CT Theory and Applications, 2012, 21(2): 169-178.
    [6]LI Bao-lei, ZHANG Yao-jun. A Local Reconstruction Algorithm of CT Based on Improved Reconstruction Filter[J]. CT Theory and Applications, 2010, 19(4): 11-17.
    [7]LI Hua-xin. Conjugate Gradient Applied to Image Reconstruction[J]. CT Theory and Applications, 2007, 16(2): 31-35.
    [8]LI Cheng-quan, LI Zheng, LI Chen, YU Ai-min. Investigation of Image Reconstruction Algorithms for In-line X-ray Phase Contrast Tomography[J]. CT Theory and Applications, 2007, 16(2): 1-7.
    [9]PEI Xiao-dong, ZHANG Quan-hong. Fan-beam Filtered Back-projection (FFBP) Algorithm Considering Practical Place of Projection Imaging Plane[J]. CT Theory and Applications, 2005, 14(3): 18-23.
    [10]Huang Feng, Shao Likang, Ding Houben, Shen Jianhua, Shi Guochuan. CBS Image Reconstruction BasedOn Filtered Backprojection[J]. CT Theory and Applications, 2001, 10(4): 22-25.

Catalog

    Article views (1048) PDF downloads (7) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return