DOI QR코드

DOI QR Code

최대 신호 대 잡음비를 이용한 방사선 방어용 앞치마의 융복합 성능평가

Convergence Performance Evaluation of Radiation Protection for Apron using the PSNR

  • 김대호 (한양대학교병원 영상의학과, 을지대학교 방사선학과) ;
  • 김상현 (서울대학교병원 영상의학과, 을지대학교 방사선학과)
  • Kim, Dae-Ho (Dept. of Radiology, Han-Yang University Hospital, Dept. of Radiological Science, Eulji University) ;
  • Kim, Sang-Hyun (Dept. of Radiology, Seoul National University Hospital, Dept. of Radiological Science, Eulji University)
  • 투고 : 2015.07.15
  • 심사 : 2015.10.20
  • 발행 : 2015.10.28

초록

본 연구는 방사선을 이용한 검사 시 방사선 방어용 앞치마(apron)의 성능이 좋지 못할 경우 방사선 작업종사자의 피폭이 상대적으로 높아질 수밖에 없음에 따라 영상평가 프로그램인 Image J의 최대 신호 대 잡음비 값을 측정하여 융복합 방어 성능평가와, 우수한 성능의 apron을 구비 할 수 있는 기초자료를 도출하고, 선량계 없이도 성능 평가 방법의 접근을 용이하게 하여 주기적이고 철저한 apron관리의 용이성을 확보하고자 하였다. 각각 32벌의 apron 9군데의 최대 신호 대 잡음비 값을 비교한 결과 상태가 양호한 apron의 경우 27 dB이상으로 나타났고 상태가 불량한 apron의 경우 24 dB미만으로 측정되어 각각의 성능이 뚜렷하게 구별 되는 것이 확인되었다. 통계분석결과 정규성 분포를 보여 t-test를 실시한 결과 p<0.001로 두 결과 값은 통계적으로 유의하였다. 이에 따라 방사선 작업종사자의 방사선피폭을 최대한 줄이기 위해 선량계 없이 최대 신호 대 잡음비 값 측정만으로 apron의 성능 평가가 용이하여 방사선 작업종사자 및 환자의 불필요한 피폭 관리가 용이하게 되었다.

This study evaluates the convergence radiation protection performance by measuring the PSNR(peak signal-to-noise ratio) values of the image J in the image evaluation program based on increased relative to this exposure of radiation workers.The aim of this study was to evaluate radiation protection performance of apron for design of it's basic information. Method was used to PSNR of Image J program and good condition apron was more than 27dB, the PSNR value of poor condition apron appeared to be less than 24dB. The result is the normality were satisfied distribution and T-test values were statistically significant with p<0.001. Results of evaluation of the performance protective apron through the more easily accessible experimental conditions and methods in the clinical was confirmed distinctly different. in order to reduce the radiation exposure we need to evaluate convergence protection performance and to be having a good performance apron.

키워드

참고문헌

  1. B. H. Cho, Radiation protection, Journal of the korean dental association, Vol. 35, No. 11, pp. 852-856, 1997.
  2. B. H. Han, H. L. Jung, C. H. Lim, Evaluation of the Reproducibility of Radiation Output from Diagnostic X-ray Equipment(Standards Based on IEC 60601-2-54), Journal of Digital Convergence, Vol 12, No. 2, pp. 555-561, 2014. https://doi.org/10.14400/JDC.2014.12.2.555
  3. Y. H. Kim, J. H. Choi, S. S. Kim, Study on Patient exposure dose in the Diagnostic radiology, Radiation Technology Science, Vol. 28, No. 3, pp. 241-248, 2005.
  4. M. H. Park, D. M. Kwon, Measurement of Apron Shielding Rate for X-ray and Gammaray, Korean Society of Radiological Science, Vol. 30, No. 3, pp. 245-250, 2007.
  5. Andrew J Reilly, Report 78 Spectrum Processor, IPEM, 1997.
  6. T. J. Choi, Y. K. Oh, J. H. Kim, Development of Lead Free Shielding Material for Diagnostic Radiation Beams, Medical physics, Vol. 18 No. 2, 2010.
  7. S. H. Kim, Study on Evalution of Usefulness of Nikel Additional Filter in the Medical Digital X-ray Equipment 2015.
  8. B. S. Lim, Study on exposure dose for the Radiologist, Radiation Technology Science, Vol. 29, No. 3, pp. 185-195, 2006.
  9. The theory and practice of Radiation, Korea Radioisotope Association, pp. 72-79, 2008.
  10. J. L. Yoo, J. W. Koo, Musculoskeletal Symptoms and Related Factors for Nurses and Radiological Technologists Wearing a Lead Apron for Radiation Protection, Korean J Occup Environ Med, Vol. 16, No. 2, pp. 166-177, 2004.
  11. J. P. McCaffrey, H. Shen, B. Downton, Radiation attenuation by lead and nonlead materials used inradiation shielding garments, Medical Physics, Vol. 34, No. 2, pp. 530-537, 2007. https://doi.org/10.1118/1.2426404
  12. Electrical medical devices standard, Korea Food & Drug Administration, No. 83, 2007.
  13. Protective devices against diagnostic medical X-radiation - Part 3: Protective clothing and protective devices for gonads, Korean Industrial Standards, KS C IEC61331-3, 2013.
  14. Y. K. Kim, Y. I. Jang, J. M. Kim, Light weight and improving protection for Radiation protective apron, Radiation Technology Science, No. 26, pp. 45-50, 2003.
  15. Y. H. Seoung, S. S. Kim, Structural Relationship for Recognition of Radiation Risks on Management and Benefits of the University Students, Journal of Digital Convergence, Vol 12, No. 2, pp. 431-437, 2014. https://doi.org/10.14400/JDC.2014.12.2.431
  16. The rules of diagnosis radiation equipment safety management, Ministry of Health and Welfare No. 291, 2015.
  17. H. M. Jung, D. Y. Won, J. E. Jung, Quantitative Analysis Methods for Adapting Image J programs on Mouse Calvarial defected Model, Journal of Digital Convergence,Vol 11, No. 9, pp. 365-370, 2013. https://doi.org/10.14400/JDPM.2013.11.9.365
  18. K. S. Kang : PSNR Appraisal of PACS Image : Nambu university 2011.
  19. J.W. Min, J.M. Kim, H.W. Jeong, Research About Filter Association and Clinical Effect Noise Reduction of Digital Medical Imaging System, Journal of radiological science and technology, Vol. 30, No. 4, pp. 329-334, 2007.
  20. H. K. Jung, Fundamentals of multimedia chapter 8, Lossy compression Algorithms, Hallym University, 2008.
  21. H. J. Yang, Y. S. Jun, K. C. Lee, Performance Evaluation of Protection for Apron, Journal of radiological science and technoligy, Vol. 16, No 2, 1993.
  22. Standard criteria development research for Apron, National Institute of Food and Drug Safety Evaluation, 2009.
  23. H. H. Lee, Awareness on radiation exposure management in the medical facilities, 1991.