DOI QR코드

DOI QR Code

Correlation Analysis of Control Factors in Automatic Exposure Control of Digital Radiography System Based on Fine Contrast Images

미세 대조도 영상을 기반한 디지털 방사선 영상 시스템의 자동노출제어 조절인자 간의 상관관계 분석

  • Lim, Se-Hun (Department of Radiology, ChungBuk National University Hospital) ;
  • Seoung, Youl-Hun (Department of Radiological Science, Graduate School of Health Sciences, Cheongju University)
  • 임세훈 (충북대학교병원 영상의학과) ;
  • 성열훈 (청주대학교 보건의료대학원 방사선학과)
  • Received : 2021.02.03
  • Accepted : 2021.02.21
  • Published : 2021.02.28

Abstract

The purpose of this study was to analyze the effect of automatic exposure control (AEC) control factors in digital radiography systems based on the fine contrast images using coin phantoms. The AEC control factors were targeted at the range of dominent zone, sensitivity, and density. The dominent zone was divided into cases where a single coin was used to cover the field configuration, and cases where seven coins were used to cover the field configuration. The sensitivity was classified into three stages (200, 400, 800) and the density was classified into three stages (2.5, 0, 2.5). Image quality was evaluated by signal to noise ratio (SNR) and contrast to noise ratio (CNR). Then, the automatically exposed tube current was measured. As a result, the X-ray image of seven coins obtained a result value of about 1.2 times higher for SNR and 1.9 times higher for CNR than the X-ray image for one coin. The tube current was also about 1.6 times higher. In conclusion, In AEC, the higher the field configuration and dominent zone are matched and the higher the density, the lower the sensitivity, which increases the tube current and CNR, which increases the image quality. Therefore, it is judged that the appropriate setting of the range of dominent zone, sensitivity, and density of the control, which is the AEC control factor, could improve the fine contrast of images.

Keywords

References

  1. Kim SH. A convergence study on evaluation of usefulness of copper additional filter in the digital radiography system. The Society of Digital Policy & Management. 2015;13(9):351-59.
  2. Lee KJ, Kim MG, Lee JW, Kim HC. Research for the environmental optimization of dose and image quality in digital radiography. Journal of the Institute of Electronics Engineers of Korea. 2013;50(2):203-09.
  3. Jo GW. What is ALARA? Korea Isotope Association. 1995;10(2):14-7.
  4. Jung JS, Choi BW, Kim SH, Kim YM, Shim JN, Ahn HS, et al. Effect of automatic exposure control marker with chest radiography in radiation reduction. Journal of the Korean Society of Radiology. 2014; 37(3):170-85.
  5. Jeong MG, Seoung YH. Effects of field configuration shielding area and changing of density and sensitivity on tube current and image quality in automatic exposure control system. Journal of the Korean Society of Radiology. 2020;14(5):635-42. https://doi.org/10.7742/JKSR.2020.14.5.635
  6. Kim KW, Kwon YR, Seo SW, Kwon KT, Oh JY, Son SY, et al. Comparison of exposure dose by using AEC mode of abdomen AP study in radiography. Journal of the Korean Society of Radiology. 2015;38(3):205-11.
  7. Hwang JH, Lee KB. A study on the quantitative analysis method through the absorbed dose and the histogram in the performance evaluation of the detector according to the sensitivity change of Auto Exposure Control(AEC) in DR(Digital Radiography). The Korea Contents Association. 2018;18(1):232-40.
  8. Hwang JH, Yang HJ, Choi JW, Lee KB. Evaluation of image quality and stability of radiation output according to change in tube voltage and sensitivity when abdomen and pelvis examination of Digital Radiography (DR). The Korea Contents Association. 2019;19(12):517-26.
  9. Lee JS, Kim CS. The additional filter and ion chamber sensor combination for reducing patient dose in digital chest X-ray projection. Journal of the Korean Society of Radiology. 2015;9(3):175-81. https://doi.org/10.7742/jksr.2015.9.3.175
  10. Park HS, Kim MS, Jeong HM, Lee JW. A study on the optimization of image quality and dose in chest PA digital radiography. Journal of the Korean Society of Radiology. 2017;11(1):55-61. https://doi.org/10.7742/jksr.2017.11.1.55
  11. Monnelly P, Kenny P. Assessment of AEC performance in DR systems. European Journal of Medical Physics. 2016;32(7):948.
  12. Choi BY, Jung MJ, Cha JW, Ha JH, Kim SH, Nho JS. Study on radiation dose and image density according to the auto exposure and sensitivity settings using the test method in the chest PA chest phantom. The Korean Society of Radiological Imaging Technology. 2016;13(1):73-80.
  13. Lee JS, Go SJ, Kang SS, Kim JH, Kim DH, Kim CS. Quantitative evaluation of image quality using automatic exposure control & sensitivity in the digital chest image. The Korea Contents Association. 2013;13(8):275-83.
  14. Choi SS, Lim CH, Jeong SH. A study on the using of automatic exposure control in the chest radiography. Journal of Radiological Science and Technology. 2019;42(1):19-24. https://doi.org/10.17946/JRST.2019.42.1.19
  15. Koo NH, Yoon HS, Choi KW, Lee JE, Kim JJ. The effect of body mass index on entrance surface air Kerma in abdominal X-ray radiography using automatic exposure control. Journal of the Korean Society of Radiology. 2018;12(5):659-667. https://doi.org/10.7742/JKSR.2018.12.5.659
  16. Kim JJ, Jang SW, Park JH, Lee KS, Ha DY. Evaluation of organ and effective dose using A PC-Based Monte Carlo Program in AEC Mode and Fix Mode for the whole spine antero-posterior radiography. Korean Journal of Digital Imaging in Medicine. 2012;14(2):23-31.
  17. Choi KK, Lee CY, Shin DS, Kim CN, Choi KY, Huh J. Visual evaluation of rib shading and lung marking in high-tube-voltage of chest radiography. Journal of the Korean Society of Radiological Technology. 1992;15(1):99-105.
  18. Doyle P, Martin CJ. Calibrating automatic exposure control devices for digital radiography. Phys. Med. Biol. Physics in Medicine and Biology. 2006;51(21): 5475-85. https://doi.org/10.1088/0031-9155/51/21/006