• DocumentCode
    468440
  • Title

    Automatic Segmentation of Abdominal Organs from CT Scans

  • Author

    Campadelli, Paola ; Casiraghi, Elena ; Pratissoli, Stella

  • Author_Institution
    Univ. degli Studi di Milano, Milano
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    In the field of medical image processing, one of the current interests is the automatic segmentation of abdominal CT images, which is the first and fundamental step both before any automatic pathology detection and to compute the 3D abdominal organ volumes. In this paper we propose our fully automatic system that segments liver and its blood vessels, kidneys, spleen, ribs and spine. The overall system has been evaluated on the data of 40 patients, obtaining a good assessment both by visual inspection by three experts, and by comparing the computed results to the manually traced boundaries.
  • Keywords
    biological organs; computerised tomography; image segmentation; medical image processing; 3D abdominal organ volumes; CT scans; abdominal CT images; automatic abdominal organ segmentation; automatic pathology detection; medical image processing; Abdomen; Biomedical image processing; Biomedical imaging; Blood vessels; Computed tomography; Image segmentation; Inspection; Liver; Pathology; Ribs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.13
  • Filename
    4410328