• DocumentCode
    3327937
  • Title

    A study on quality level reproducibility for the usability of irreversible compression in radiological imaging

  • Author

    Signoroni, Alberto ; Tonoli, Claudia ; Castiglioni, Isabella

  • Author_Institution
    DEA\\, Univ. of Brescia, Brescia, Italy
  • fYear
    2011
  • fDate
    23-29 Oct. 2011
  • Firstpage
    3144
  • Lastpage
    3148
  • Abstract
    Image compression is becoming a crucial theme in medical information management, due to the large high resolution image sets now requested and available from different imaging systems, thus requiring efficient local or remote image access. In order to achieve suitable image Compression Ratios (CR), lossless compression is no more sufficient, but the usability of irreversible compression is creating a serious and debating problem (also involving the main radiologists societies). In this work usability criteria for irreversible image compression have been derived for radiological applications (CT images). Criteria were based on objective image quality parameters, according to standardized CT image quality measurements, and on structural similarity measures. Results showed that it is possible to determine meaningful intervals of usage of compression algorithms with reproducible quality, irrespectively of case specific parameters. Such intervals are defined and rely on a coding strength parameter corresponding to state parameters which are observable in the selected compression technology.
  • Keywords
    computerised tomography; data compression; image coding; medical image processing; radiology; coding strength parameter; compression algorithms; irreversible image compression ratio; medical information management; quality level reproducibility; radiological imaging; remote image access; standardized CT image quality measurements; Biomedical imaging; Biomedical measurements; Image coding; Irrigation; Linearity; Noise; Noise measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
  • Conference_Location
    Valencia
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-0118-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2011.6152572
  • Filename
    6152572