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    Development of an Online Automatic Computed Radiography Dose Data Mining Program: A Preliminary Study

    132800_sun%20Data_Mining_Paper_Revised.pdf (39.99Kb)
    Access Status
    Open access
    Authors
    Ng, Curtise
    Sun, Zhonghua
    Date
    2010
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ng, Curtise and Sun, Zhonghua. 2010. Development of an Online Automatic Computed Radiography Dose Data Mining Program: A Preliminary Study. Computer Methods and Programs in Biomedicine. 97 (1): pp. 48-52.
    Source Title
    Computer Methods and Programs in Biomedicine
    DOI
    10.1016/j.cmpb.2009.07.001
    ISSN
    01692607
    Faculty
    School of Science and Computing
    Faculty of Science and Engineering
    Department of Imaging and Applied Physics
    Remarks

    The link to the journal’s home page is: http://www.elsevier.com/wps/find/journaldescription.cws_home/622273/description#description. Copyright © 2010 Elsevier B.V. All rights reserved

    URI
    http://hdl.handle.net/20.500.11937/40319
    Collection
    • Curtin Research Publications
    Abstract

    Recent studies have reported the computed radiography (CR) dose creep problem and therefore the need to have monitoring processes in place in clinical departments. The objective of this study is to provide a better technological solution to implement a regular CR dose monitoring process. An online automatic CR dose data mining program which can be applied to different systems was developed based on freeware and existing softwares in the Picture Archiving and Communication System (PACS) server. The program was tested with 69 CR images. This preliminary study shows that the program addresses the major weaknesses of some existing studies including involvement of manual procedures in the monitoring process and being only applicable to a single manufacturer's CR images. The proposed method provides an efficient and effective solution to implement a CR dose monitoring program regularly in busy clinical departments to regulate the dose creep problem so as to reinforce the As Low As Reasonably Achievable (ALARA) principle.

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