• DocumentCode
    636981
  • Title

    Study on improvement of signal detectability considering noise characteristics in medical X-ray images

  • Author

    Sugiura, Akira ; Yokoyama, Kazuya ; Takada, Hiroaki

  • Author_Institution
    Dept. of Radiol. Technol., Gifu Univ. of Med. Sci., Seki, Japan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    7184
  • Lastpage
    7187
  • Abstract
    The purpose of this study is to develop method for improvement of low-contrast signal detectability of general X-ray images used for observing overviews, included noise reduction technique and signal amplification technique, that are difficult to detect in the observing overview. The proposal method consists signal amplification part and noise reduction part. The noise reduction part first identifies and mathematizes the characteristics of the noise attributed to the X-ray imaging system before the subject is imaged. The noise information derived from mathematization is used to remove the noise representing the system noise from the subject image. After noise reduction, all the signals on the subject image with sufficiently reduced noise are amplified by multiplication with an arbitrary coefficient. The feasibility of the proposed method was indicated by three evaluations that were performed vision assessment using the image including the virtual low-contrast signals by four radiological technologists. That of the proposed method was confirmed from results of the evaluations. That of the proposed method was confirmed from results of the evaluations.
  • Keywords
    diagnostic radiography; medical image processing; signal denoising; mathermatization; medical X-ray imaging system; noise characteristics; noise reduction technique; radiological technologist; signal amplification technique; virtual low-contrast signal detectability; Biomedical imaging; Materials; Noise; Noise reduction; Tumors; X-ray imaging; general X-ray image; mathematization; noise reduction; observing overview; signal detectability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611215
  • Filename
    6611215