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Study of Monte Carlo Simulator for Estimation of Anti-Scatter Grid Physical Characteristics on IEC 60627:2013-Based

Received: 27 December 2017    Accepted: 9 January 2018    Published: 19 January 2018
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Abstract

The anti-scatter grid (grid) is a major component of X-ray imaging devices, improving the quality of the image by removing X-rays scattered while passing through the subject. However, problems such as image distortions or increasing the dose of a patient unnecessarily may result if the grid is not suitable for a specific digital x-ray receptor (detector.) Selecting a suitable grid can take significant work and testing due to the wide range of specifications and physical characteristic of both grid and digital imaging x-ray detectors. In order to reduce the time cost and to improve the accuracy of selecting a suitable grid, this study implemented a Monte Carlo simulation for estimating the physical characteristics of the grid and verified the accuracy of the result by comparing with the physical characteristics of the actual grid. For the verification, this study compared the estimated physical characteristics with the measured physical characteristics for ten (10) grids with different specifications. The physical characteristics were measured at RQR (Radiation Qualities in Radiation Beams emerging from the X-ray Source Assembly) 4/6/8/9 of the Radiation conditions and analyzed Transmission of Primary radiation (Tp), Transmission of Total radiation (Tt) and Transmission of Scattered radiation (Ts) of the physical characteristics of the grid. As a result of the analysis, less than 1% average deviation between simulation and physical measurement was observed with all ten (10) grids. The changes of the physical characteristics as the specifications (line density and ratio) of the grid changed were also evaluated, and found to have a Pearson’s correlation coefficient of 0.998 between simulation and measurements. From the above results, the proposed program in this paper is judged reasonable as a grid physical characteristics prediction program.

Published in American Journal of Physics and Applications (Volume 6, Issue 2)
DOI 10.11648/j.ajpa.20180602.12
Page(s) 35-42
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Anti-Scatter Grid, IEC 60627:2013, Grid Physical Characteristics, Monte Carlo Simulation, MCNP

References
[1] W. C. Röntgen., et al. "Über eine neue Art Von Strahlen" Würzburger Berichte (1895), pp. 132-141.
[2] Bucky G, “A Grating-Diaphragm to Cut off Secondary Rays from the Object” Archives of the Roentgen Ray 18 (1913): 6-9.
[3] Hondius Boldingh, Willem., et al. "Grids to reduce scattered X-rays in medical radiography" Philips Research Reports Supplement 1 (1964).
[4] Tang, C-M., et al. "Anti-scattering X-ray grid" Microsystem technologies 4.4 (1998): 187-192.
[5] Hendee, William R., et al. "Radiography" Medical Imaging Physics, Fourth Edition (2002): 217-234.
[6] “IEC 60627:2013, - Diagnostic X-ray imaging equipment –Characteristics of general purpose and mammographic anti-scatter grids” International Electrotechnical Commission, 2013.
[7] Dogan Bor., et al. “Investigation of grid performance using simple image quality tests” Journal of Medical Physics, Vol. 41 (1), pp 21-28, 2016.
[8] “JPI’s Grid Book (2015) Version VIII” – www.jpi.co.kr.
[9] “IEC62220-1:2003, Medical electrical equipment – Characteristics of digital X-ray imaging devices – Part 1: Determination of the detective quantum efficiency” International Electrotechnical Commission, 2003.
[10] Kent State University Libraries. “Pearson Correlation” Accessed December 05, 2017. https://libguides.library.kent.edu/SPSS/PearsonCorr.
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  • APA Style

    Woo-Hyun Chung, Sang-Hyun Lee. (2018). Study of Monte Carlo Simulator for Estimation of Anti-Scatter Grid Physical Characteristics on IEC 60627:2013-Based. American Journal of Physics and Applications, 6(2), 35-42. https://doi.org/10.11648/j.ajpa.20180602.12

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    ACS Style

    Woo-Hyun Chung; Sang-Hyun Lee. Study of Monte Carlo Simulator for Estimation of Anti-Scatter Grid Physical Characteristics on IEC 60627:2013-Based. Am. J. Phys. Appl. 2018, 6(2), 35-42. doi: 10.11648/j.ajpa.20180602.12

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    AMA Style

    Woo-Hyun Chung, Sang-Hyun Lee. Study of Monte Carlo Simulator for Estimation of Anti-Scatter Grid Physical Characteristics on IEC 60627:2013-Based. Am J Phys Appl. 2018;6(2):35-42. doi: 10.11648/j.ajpa.20180602.12

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  • @article{10.11648/j.ajpa.20180602.12,
      author = {Woo-Hyun Chung and Sang-Hyun Lee},
      title = {Study of Monte Carlo Simulator for Estimation of Anti-Scatter Grid Physical Characteristics on IEC 60627:2013-Based},
      journal = {American Journal of Physics and Applications},
      volume = {6},
      number = {2},
      pages = {35-42},
      doi = {10.11648/j.ajpa.20180602.12},
      url = {https://doi.org/10.11648/j.ajpa.20180602.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20180602.12},
      abstract = {The anti-scatter grid (grid) is a major component of X-ray imaging devices, improving the quality of the image by removing X-rays scattered while passing through the subject. However, problems such as image distortions or increasing the dose of a patient unnecessarily may result if the grid is not suitable for a specific digital x-ray receptor (detector.) Selecting a suitable grid can take significant work and testing due to the wide range of specifications and physical characteristic of both grid and digital imaging x-ray detectors. In order to reduce the time cost and to improve the accuracy of selecting a suitable grid, this study implemented a Monte Carlo simulation for estimating the physical characteristics of the grid and verified the accuracy of the result by comparing with the physical characteristics of the actual grid. For the verification, this study compared the estimated physical characteristics with the measured physical characteristics for ten (10) grids with different specifications. The physical characteristics were measured at RQR (Radiation Qualities in Radiation Beams emerging from the X-ray Source Assembly) 4/6/8/9 of the Radiation conditions and analyzed Transmission of Primary radiation (Tp), Transmission of Total radiation (Tt) and Transmission of Scattered radiation (Ts) of the physical characteristics of the grid. As a result of the analysis, less than 1% average deviation between simulation and physical measurement was observed with all ten (10) grids. The changes of the physical characteristics as the specifications (line density and ratio) of the grid changed were also evaluated, and found to have a Pearson’s correlation coefficient of 0.998 between simulation and measurements. From the above results, the proposed program in this paper is judged reasonable as a grid physical characteristics prediction program.},
     year = {2018}
    }
    

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    AU  - Woo-Hyun Chung
    AU  - Sang-Hyun Lee
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    AB  - The anti-scatter grid (grid) is a major component of X-ray imaging devices, improving the quality of the image by removing X-rays scattered while passing through the subject. However, problems such as image distortions or increasing the dose of a patient unnecessarily may result if the grid is not suitable for a specific digital x-ray receptor (detector.) Selecting a suitable grid can take significant work and testing due to the wide range of specifications and physical characteristic of both grid and digital imaging x-ray detectors. In order to reduce the time cost and to improve the accuracy of selecting a suitable grid, this study implemented a Monte Carlo simulation for estimating the physical characteristics of the grid and verified the accuracy of the result by comparing with the physical characteristics of the actual grid. For the verification, this study compared the estimated physical characteristics with the measured physical characteristics for ten (10) grids with different specifications. The physical characteristics were measured at RQR (Radiation Qualities in Radiation Beams emerging from the X-ray Source Assembly) 4/6/8/9 of the Radiation conditions and analyzed Transmission of Primary radiation (Tp), Transmission of Total radiation (Tt) and Transmission of Scattered radiation (Ts) of the physical characteristics of the grid. As a result of the analysis, less than 1% average deviation between simulation and physical measurement was observed with all ten (10) grids. The changes of the physical characteristics as the specifications (line density and ratio) of the grid changed were also evaluated, and found to have a Pearson’s correlation coefficient of 0.998 between simulation and measurements. From the above results, the proposed program in this paper is judged reasonable as a grid physical characteristics prediction program.
    VL  - 6
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Author Information
  • Research & Development Center, JPI Healthcare Co., Ltd., Ansan-si, Republic of Korea

  • Research & Development Center, JPI Healthcare Co., Ltd., Ansan-si, Republic of Korea

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