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A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme

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Abstract

In the UK, physicists and radiographers perform routine quality control (QC) of digital mammography equipment at daily, weekly and monthly intervals. The tests performed and tolerances are specified by standard protocols. The manual nature of many of the tests introduces variability due to the positioning of regions of interest (ROIs) and can be time consuming. The tools on workstations provided by manufacturers limit the range of analysis that radiographers can perform and do not allow for a standard set of tools and analysis because they are specific to a given manufacturer. Automated software provides a means of reducing the variability in the analysis and also provides the possibility of additional, more complex analysis than is currently performed on the daily, weekly and monthly checks by radiographers. To this end, a set of tools has been developed to analyse the routine images taken by radiographers. As well as automatically reproducing the usual measurements by radiographers more complex analysis is provided. A QC image collection system has been developed which automatically routes QC data from a clinical site to a centralised server for analysis. A Web-based interface has been created that allows the users to view the performance of the mammographic equipment. The pilot system obtained over 3000 QC images from seven X-ray units at a single screening centre over 2 years. The results show that these tools and methods of analysis can highlight changes in a detector over time that may otherwise go unnoticed with the conventional analysis.

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Acknowledgments

This work has been funded by the NHS Breast Screening Programme. We would like to acknowledge the help of Prof. David Dance, the cooperation of the radiographers at the Jarvis Screening Centre and the staff at the Regional Radiation Protection Service at the Royal Surrey County Hospital.

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Authors and Affiliations

  1. NCCPM, Royal Surrey County Hospital, Guildford, UK

    P. Looney, J. M. Oduko & K. C. Young

  2. Scientific Computing Section, Royal Surrey County Hospital, Guildford, UK

    M. D. Halling-Brown

  3. Department of Physics, University of Surrey, Guildford, England, UK

    K. C. Young

Authors
  1. P. Looney
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  2. M. D. Halling-Brown
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  3. J. M. Oduko
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  4. K. C. Young
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Corresponding author

Correspondence to P. Looney.

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Looney, P., Halling-Brown, M.D., Oduko, J.M. et al. A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme. J Digit Imaging 28, 586–593 (2015). https://doi.org/10.1007/s10278-014-9759-z

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  • DOI: https://doi.org/10.1007/s10278-014-9759-z

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