• Acta Photonica Sinica
  • Vol. 43, Issue 10, 1011003 (2014)
FANG Jing*, CHENG Le-hong, ZHANG Yu-ping, and LUO Gao-peng
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/gzxb20144310.1011003 Cite this Article
    FANG Jing, CHENG Le-hong, ZHANG Yu-ping, LUO Gao-peng. Improved Iterative Tomography Algorithm Based on Fan-beam Geometry of Double Projections[J]. Acta Photonica Sinica, 2014, 43(10): 1011003 Copy Citation Text show less
    References

    [1] HERMAN G T. Image reconstruction from projections[J]. Real-Time Imaging, 1995, 1(1): 3-18.

    [2] WEI Ru-yi, ZHOU Jin-song, JING Juan-juan, et al. Development and trends of the computed tomography imaging spectrometers[J]. Spectroscopy and Spectral Analysis, 2010, 30(10): 2866-2873.

    [3] ABICHOU T, CLARK J, CHANTON J, et al. A new approach to characterize emission contributions from area sources during optical remote sensing technique testing[J]. Journal of the Air & Waste Management Association, 2012, 62(12): 1403-1410.

    [4] PARK D Y, FESSIER J A, YOST M G, et al. Tomographic reconstruction of tracer gas concentration profiles in a room with the use of a single OP-FTIR and two iterative algorithms: ART and PWLS[J]. Journal of the Air & Waste Management Association, 2000, 50(3): 357-370.

    [5] HU Lan-ping, LI Yan, ZHANG Lin, et al. Advanced development of remote sensing FTIR in air environment monitoring[J]. Spectroscopy and Spectral Analysis, 2006, 26(10): 1863-1867.

    [6] YAO Hong-bing, HE An-zhi.Improvement of the reconstruction algorithm of optical computerized tomography[J]. Acta Optica Sinica, 2004, 24(2): 158-161.

    [7] ZHOU Wen-jing, XU Qiang-sheng, YU Ying-jie. Analysis of tomography reconstruction based on three projections[J]. Acta Photonica Sinina, 2010, 39(7): 1257-1262.

    [8] AVERBUCH A, SEDELNIKOV I, SHKOLNISKY Y. CT reconstruction from parallel and fan-beam projections by a 2-D discrete Radon transform[J]. IEEE Transactions on Image Processing, 2012, 21(2): 733-741.

    [9] HERMAN G T, LENT A, ROWLAND S W. ART: mathematics and applications: a report on the mathematical foundations and on the applicability to real data of the algebraic reconstruction techniques[J]. Journal of Theoretical Biology, 1973, 42(1): 1-32

    [10] HERMAN G T, MEYER L B. Algebraic reconstruction techniques can be made computationally efficient [positron emission tomography application][J]. IEEE Transactions on Medical Imaging, 1993, 12(3): 600-609.

    [11] ZHANG Shun-li, ZHANG Ding-hua, AO Bo, et al.Research of image reconstruction from incomplete projection data on ART[J].Computer Engineering and Applications, 2007, 43(10): 8-10.

    [12] SONG Yi-zhong, SUN Tao, HU Guo-ying, et al. Analyzing the methods to smooth filed reconstruction by algebraic reconstruction technique with spectroscopy[J]. Spectroscopy and Spectral Analysis, 2006, 26(8): 1411-1415

    [13] MAHANTA S, CHUTIA R, DATTA D, et al. Sensitivity analysis with reference to emission concentration of gaussian plume model[J]. International Journal of Energy, Information and Communications, 2012, 3(2): 45-52.

    [14] ARYSTANBEKOVA N K. Application of Gaussian plume models for air pollution simulation at instantaneous emissions[J]. Mathematics and Computers in Simulation, 2004, 67(4): 451-458.

    [15] ZHANG Bin-cai, ZHAO Jun. Application of gaussian plume model of atmosphere diffusion integrated with GIS[J]. The Administration and Technique of Environmental Monitoring, 2008, 20(5): 17-19.

    [16] MAESTRE-DEUSTO F J, SCAVELLO G, PIZARRO J, et al. ADART: An adaptive algebraic reconstruction algorithm for discrete tomography[J]. IEEE Transactions on Image Processing, 2011, 20(8): 2146-2152.

    [17] ATKINSON C H, SORIA J. Algebraic reconstruction techniques for tomographic particle image velocimetry[C]. 16th Australasian Fluid Mechanics Conference, 2007: 191-198.

    [18] HERMAN G T. Fundamentals of computerized tomography: image reconstruction from projections[M]. Springer, 2009.

    CLP Journals

    [1] LI Hong-xiao, CHEN Xiao-dong, LI Jun-wei, WANG Yi, YU Dao-yin. Analysis of Iterative Denoising Method in Sparse Computed Tomography Reconstruction[J]. Acta Photonica Sinica, 2015, 44(5): 517002

    [2] QIAO Nao-sheng. Edge Detection of Printed Circuit Board Defect Image[J]. Acta Photonica Sinica, 2016, 45(4): 410001

    FANG Jing, CHENG Le-hong, ZHANG Yu-ping, LUO Gao-peng. Improved Iterative Tomography Algorithm Based on Fan-beam Geometry of Double Projections[J]. Acta Photonica Sinica, 2014, 43(10): 1011003
    Download Citation