• DocumentCode
    2382384
  • Title

    Computed tomography soft tissue restoration using wiener filter

  • Author

    Hussien, M. Naeem ; Saripan, M. Iqbal

  • Author_Institution
    Dept. of Comput. & Commun. Syst. Eng., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2010
  • fDate
    13-14 Dec. 2010
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    This paper presents image restoration for Computed Tomography (CT) scan image particularly soft tissue area using image restoration technique. The approach of these technique are using inverse filtering which specifically involving Wiener filter to remove the noise and blur simultaneously in the CT image further restore the degraded CT image. CT scan image usually showing less detail visualization of soft tissue compare to Magnetic Resonance Imaging (MRI) scan image. The new CT image after restoration technique showed significantly high contrast compared to the original CT image produced by the CT scan machine. This procedure also shows comparison of different values use for noise to signal ratio (NSR) in Wiener filter equation to generate the estimate output of CT image. In this procedure values of NSR are treat as constant.
  • Keywords
    Wiener filters; biological tissues; cellular biophysics; computerised tomography; diagnostic radiography; filtering theory; image denoising; image restoration; medical image processing; Wiener filter; computed tomography; image contrast; image deblurring; image denoising; image visualization; inverse filtering; noise to signal ratio; soft tissue image restoration; Computed Tomography; Magnetic Resonance Imaging; Soft tissue; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development (SCOReD), 2010 IEEE Student Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-4244-8647-2
  • Type

    conf

  • DOI
    10.1109/SCORED.2010.5704045
  • Filename
    5704045