• DocumentCode
    2382206
  • Title

    A statistical approach for automatic kidneys detection

  • Author

    Touhami, Wala ; Boukerroui, Djamal ; Cocquerez, Jean-Pierre

  • Author_Institution
    Univ. de Technol. de Compiegne, France
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    The problem we address in this paper is an automatic detection of kidneys with cysts in abdominal 2D computed tomography images. Identifying abdominal organs is a key step in medical image retrieval application. However, due to gray levels similarities of adjacent organs, contrast media effect, and relatively high variation of organ´s positions and shapes, automatically identifying abdominal organs has always been a high challenging task. In this paper, we present an original method, in a statistical framework, for fully automatic kidneys detection. The method is tested on over 400 clinically acquired images and very promising results were obtained.
  • Keywords
    computerised tomography; image retrieval; kidney; medical image processing; statistical analysis; 2D computed tomography images; abdominal cysts; abdominal organs identification; adjacent organs; automatic kidneys detection; contrast media effect; medical image retrieval; organ positions; statistical approach; Abdomen; Biomedical imaging; Computed tomography; Content based retrieval; Image retrieval; Image segmentation; Medical diagnostic imaging; Pixel; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530498
  • Filename
    1530498