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    Development of an Online Automatic Diagnostic Reference Levels Management System for Digital Radiography: A Pilot Experience

    150596_150596.pdf (130.8Kb)
    Access Status
    Open access
    Authors
    Ng, Curtise
    Sun, Zhonghua
    Date
    2011
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ng, Curtise K.C. and Sun, Zhonghua. 2011. Development of an Online Automatic Diagnostic Reference Levels Management System for Digital Radiography: A Pilot Experience. Computer Methods and Programs in Biomedicine. 103 (3): pp. 145-150.
    Source Title
    Computer Methods and Programs in Biomedicine
    DOI
    10.1016/j.cmpb.2010.07.008
    ISSN
    01692607
    School
    Department of Imaging and Applied Physics
    Remarks

    NOTICE: This is the author’s version of a work that was accepted for publication in Computer Methods and Programs in Biomedicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Methods and Programs in Biomedicine, 103 (3): pp. 145-150, http://dx.doi.org/10.1016/j.cmpb.2010.07.008

    URI
    http://hdl.handle.net/20.500.11937/14141
    Collection
    • Curtin Research Publications
    Abstract

    The diagnostic reference levels (DRLs) concept is a methodology proposed by the International Commission on Radiological Protection (ICRP) for identifying any unusual high patient doses involved in radiological examinations. However, some challenges are anticipated in the DRLs concept including resource demand for running the audit cycle by individual imaging departments and availability of DRLs. The objective of this study was to develop an online automatic DRLs management system for digital radiography (DR) with the aim of addressing the challenges of the DRLs obligation. An online automatic DRLs management system for DR composed of freeware was developed. The system was tested with 75 DR images. This pilot experience shows that the system successfully addresses the challenges in the DRLs management, i.e. resource demand for running the audit cycle by individual imaging departments and availability of DRLs. It can provide at a low cost an efficient and effective solution to the implementation of regular audits of patient doses using DR in busy clinical departments. It can also contribute to the development of DRLs at local and national levels. In this way, any unacceptable radiological practice (examination used unjustified high radiation dose) can be identified.

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