• DocumentCode
    456428
  • Title

    Image denoising using Wavelets: A powerful tool to overcome some limitations in nuclear imaging

  • Author

    Nawrès, Khlifa ; Kamel, Hamrouni ; Noureddine, Ellouze

  • Author_Institution
    Lab. des Systemes et de Traitement du Signal, Ecole Nationale d´´Ingenieurs de Tunis
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1114
  • Lastpage
    1118
  • Abstract
    In spite of their bad resolution, scintigraphic images are used as an indicator of the functionality of some organs. The drawbacks of this image modality are the bad contrast and resolution of images and the fluctuations due to the Poisson distribution. Instead of increasing the injected dose or increasing the duration exposure of the patient, we propose a method base on image processing to enhance the image quality and decrease fluctuations. The proposed method is based on the adaptive thresholding of the wavelet coefficients combined with the Fisz transform in low count level. Results are considered, by nuclear medicine specialists, interesting with respect to the image quality enhancement while contours and details preservation
  • Keywords
    Poisson distribution; image denoising; image enhancement; image resolution; medical image processing; radioisotope imaging; wavelet transforms; Fisz transform; Poisson distribution; adaptive thresholding; image denoising; image processing; image quality enhancement; image resolution; nuclear imaging; scintigraphic image; wavelet coefficient; wavelet transform; Cameras; Fluctuations; Image denoising; Image processing; Image quality; Image resolution; Noise reduction; Nuclear imaging; Nuclear medicine; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684530
  • Filename
    1684530