Journal of Digital Imaging

, Volume 29, Issue 5, pp 627–634 | Cite as

Real-Time Patient Radiation Dose Monitoring System Used in a Large University Hospital

  • Jungsu Kim
  • Yongsu Yoon
  • Deoknam Seo
  • Soonmu Kwon
  • Jina Shim
  • Jungmin KimEmail author


Radiation dose monitoring in medical imaging examination areas is mandatory for the reduction of patient radiation exposure. Recently, dose monitoring techniques that use digital imaging and communications in medicine (DICOM) dose structured reports (SR) have been introduced. The present paper discusses the setup of a radiation dose monitoring system based on DICOM data from university hospitals in Korea. This system utilizes the radiation dose data-archiving method of standard DICOM dose SR combined with a DICOM modality performed procedure step (MPPS). The analysis of dose data based on a method utilizing DICOM tag information is proposed herein. This method supports the display of dose data from non-dosimeter-attached X-ray equipment. This system tracks data from 62 pieces of equipment to analyze digital radiographic, mammographic, mobile radiographic, CT, PET-CT, angiographic, and fluorographic modalities.


Radiation exposure DICOM dose SR DICOM MPPS Radiation dose monitoring Hospital information system 


  1. 1.
    Kim YH, Choi JH, Kim CK, Kim JM, Kim SS, Oh YW, Lee CY, Kang DH, Lee YB, Cho PK, Kim HC: Patient dose measurements in diagnostic radiology procedures in Korea. Radiat Prot Dosim 123(4):540–545, 2007CrossRefGoogle Scholar
  2. 2.
    International Commission on Radiological Protection. Managing patient dose in digital radiology, ICRP Publication 93. Ann. ICRP 34, 1–74, 2004Google Scholar
  3. 3.
    Vano E, Fernandez JM, Ten JI, Gonzalez L, Guibelalde E, Prieto C: Patient dosimetry and image quality in digital radiology from online audit of the X-ray system. Radiat Prot Dosim 117(1–3):199–203, 2005Google Scholar
  4. 4.
    Ng CK, Sun Z: Development of an online automatic diagnostic reference levels management system for digital radiography: a pilot experience. Comput Methods Prog Biomed 103:145–150, 2011CrossRefGoogle Scholar
  5. 5.
    Integrating the Healthcare Enterprise IHE Radiology Technical Framework Radiation Exposure Monitoring (REM) Integration Profile. http://www.ihenet/Technical_Framework/upload/IHE_RAD_TF_Sup_Radiation_Exposure_Monitoring_Public_Comment_2008_02_29.pdf. Accessed 10 June 2014
  6. 6.
    United Nations Scientific Committee on the Effects of Atomic Radiation. UNSCEAR 2008 Report. Vol. I sources of ionizing radiation Annex A: Medical radiation exposures, 2010Google Scholar
  7. 7.
    Rehani M, Frush D: Patient exposure tracking: The IAEA smart card project. Radiat Prot Dosim 147(1–2):314–316, 2011CrossRefGoogle Scholar
  8. 8.
    Sodickson A, Baeyens PF, Andriole KP, Prevedello LM, Nawfel RD, Hanson R, Khorasani RK: Recurrent CT, cumulative radiation exposure, associated radiation-induced cancer risks from CT of adults. Radiology 251(1):175–184, 2009CrossRefPubMedGoogle Scholar
  9. 9.
    Vano E, Fernandez JM, Ten JI, Guibelalde E, Gonzalez L, Pedrosa CS: A real-time measurement and audit of radiation dose to patients undergoing computed radiography. Radiology 2251:283–288, 2002CrossRefGoogle Scholar
  10. 10.
    Bongartz G, Golding S, Jurik A, Leonardi M, van Meerten EP, Geleijns J, Jessen KA, Panzer W, Shrimpton PC, Tosi G: European Guidelines for Multislice Computed Tomography. European Commission, 2004Google Scholar
  11. 11.
    Shrimpton PC, Hillier MC, Lewis MA, Dunn M: National survey of doses from CT in the UK: 2003. Br J Radiol 79:968–980, 2006CrossRefPubMedGoogle Scholar
  12. 12.
    Noumeir R: Benefits of the DICOM modality performed procedure step. J Digit Imaging 118(4):260–269, 2005CrossRefGoogle Scholar
  13. 13.
    Noumeir R: Benefits of the DICOM structured report. J Digit Imaging 119(4):295–306, 2006CrossRefGoogle Scholar
  14. 14.
    McCollough C, Cody D, Edyvean S, Geise R, Gould B, Keat N, Huda W, Judy P, Kalender W, McNitt-Gray M, et al: The Measurement, Reporting, Management of Radiation Dose in CT. Rep AAPM Task Group 23:1–28, 2008Google Scholar
  15. 15.
    Charnock P, Moores BM, Wilde R: Establishing local and regional DRLs by means of electronic radiographical X-ray examination records. Radiat Prot Dosim 157(1):62–75, 2013CrossRefGoogle Scholar
  16. 16.
    Moores BM, Charnock P, Ward M: Web-based tools for quality assurance and radiation protection in diagnostic radiology. Radiat Prot Dosim 139(1–3):422–429, 2010CrossRefGoogle Scholar
  17. 17.
    Cook TS, Zimmerman SL, Steingall SR, Maidment ADA, Kim WJ, Boonn WW: RADIANCE: an automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates. Radiographics 31:1833–1846, 2011CrossRefPubMedGoogle Scholar
  18. 18.
    Edmonds I: R: calculation of patient skin dose from diagnostic X-ray procedures. Br J Radiol 57:733–734, 1984CrossRefPubMedGoogle Scholar

Copyright information

© Society for Imaging Informatics in Medicine 2016

Authors and Affiliations

  • Jungsu Kim
    • 1
    • 2
  • Yongsu Yoon
    • 3
  • Deoknam Seo
    • 1
    • 4
  • Soonmu Kwon
    • 5
    • 6
  • Jina Shim
    • 7
  • Jungmin Kim
    • 1
    Email author
  1. 1.Department of Radiologic Science, College of Health ScienceKorea UniversitySeoulRepublic of Korea
  2. 2.Department of Radiologic TechnologyChungbuk Health & Science UniversityChungbuk-doRepublic of Korea
  3. 3.Department of Health Sciences, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
  4. 4.Department of Diagnostic RadiologyKorea Institute of Radiological & Medical SciencesSeoulRepublic of Korea
  5. 5.Department of Radiological ScienceCatholic University of DaeguDaeguRepublic of Korea
  6. 6.Department of Radiologic TechnologyDaegu Health CollegeDaeguRepublic of Korea
  7. 7.Department of Bio-convergence EngineeringKorea University Graduate SchoolSeoulRepublic of Korea

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