• DocumentCode
    3585911
  • Title

    ARG: A semi-automatic system for ROI detection on Renal Scintigraphic images

  • Author

    Aribi, Yassine ; Wali, Ali ; Hamza, Fatma ; Guermazi, Fadhel ; Alimi, Adel M.

  • Author_Institution
    REGIM: Res. Groups in Intell. Machines, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • Firstpage
    303
  • Lastpage
    308
  • Abstract
    In this paper, we propose, a semi-automatic approach for the identification of Regions Of Interest (ROI) of the kidneys (healthy and diseased) on dynamic scintigraphic images. The triggering of the method depend on the intervention of an expert, such as a specialist in nuclear medicine. Our contribution is made obvious here through referring to the adaptive threshold relying on the calculation of the gradients histogram and thus accurately detecting the places of the region of interest. The adaptive threshold will be the average of the histogram of the matrix of the calculated gradients. This approach was tested on dynamic scintigraphic images acquired clinically and satisfactory results are obtained.
  • Keywords
    kidney; medical image processing; radioisotope imaging; ARG; ROI detection; ROI identification; adaptive threshold; gradient histogram; kidneys; nuclear medicine; regions of interest identification; renal scintigraphic images; semiautomatic system; Biomedical imaging; Heuristic algorithms; Histograms; Hybrid intelligent systems; Image segmentation; Kidney; Nuclear medicine; ARG; ROI detection; adaptive threshold; scintigraphic images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
  • Print_ISBN
    978-1-4799-7632-4
  • Type

    conf

  • DOI
    10.1109/HIS.2014.7086166
  • Filename
    7086166