ISSN 1004-4140
CN 11-3017/P
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.
Citation: 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.

Investigation of Image Reconstruction Algorithms for In-line X-ray Phase Contrast Tomography

More Information
  • Received Date: February 16, 2007
  • Available Online: December 16, 2022
  • We dicuss a fundamental theorem of phase contrast tomography,which plays a similar role as the Fourier slice theorem does for absorption-based CT.The theorem leads to develop a combined phase retrieval-reconstruction algorithm.With experimental results of In-line phase contrast CT from the Beijing Synchrotron Radiation Facility,we used the algorithm to reconstruct the three dimensional refractive distribution of the specimens,and compare the reconstruction quality for the conventional FBP algorithm.Some influencing factors of the algorithm has be dicussed.
  • Related Articles

    [1]QI Weiwei, CHENG Jin, CHEN Chuhan, AN Bei, LIU Xiaoyi, FU Ling, WANG Yi. Value of Low Tube Voltage Combined with Deep Learning Image Reconstruction Algorithm to Reduce Radiation Dose in Combined Thoracoabdominal Enhanced CT[J]. CT Theory and Applications, 2025, 34(3): 359-368. DOI: 10.15953/j.ctta.2025.001
    [2]GUAN Xingyu, LI Wangjia, LV Fajin, ZHANG Zhiwei. CT Image Quality Optimization and Radiation Dose Control Using Deep Learning Reconstruction Algorithms in Multi-Dose Abdominal CT: A Phantom Study[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.226
    [3]FENG Mengya, LI Bing, WU Min, HUA Ting, TANG Guangyu. Application of New Iterative Reconstruction Algorithm Based on Artificial Intelligence and Low Tube Voltage in Reducing the Radiation Dose of Coronary CTA in Obese Patients[J]. CT Theory and Applications, 2023, 32(6): 777-782. DOI: 10.15953/j.ctta.2022.148
    [4]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
    [5]LIU Cheng-lei, XI Yan, ZUO Hou-dong, YANG Chun-ming, YAO Wei-wu. Three-dimensional Imaging of Articular Cartilage in Human Using Synchrotron Radiation Micro-computer Tomography[J]. CT Theory and Applications, 2015, 24(6): 793-799. DOI: 10.15953/j.1004-4140.2015.24.06.04
    [6]FANG Lin, LI Liang. Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose[J]. CT Theory and Applications, 2013, 22(2): 207-213.
    [7]LI Yong-hua, LI Zheng, LIU Zhe, ZHANG Li. Phase Retrieval of X-ray Phase Contrast Imaging Based on Iterative Algorithm[J]. CT Theory and Applications, 2010, 19(2): 53-30.
    [8]LIU Li, ZHU Pei-ping. CT Image Explanation in Peak Diffraction-Enhanced Imaging[J]. CT Theory and Applications, 2008, 17(1): 1-6.
    [9]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.
    [10]WU Yu-qin, ZHANG Li, CHEN Zhi-qiang, KANG Ke-jun. A Visualization System of Three Dimensions based on Radiation Imaging[J]. CT Theory and Applications, 2005, 14(1): 11-16.

Catalog

    Article views (2134) PDF downloads (38) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return