• DocumentCode
    3428929
  • Title

    GridSnake: A Grid-based implementation of the Snake segmentation algorithm

  • Author

    Cannataro, Mario ; Guzzi, Pietro H. ; Lobosco, Marcelo ; Santos, Rodrigo Weber dos

  • Author_Institution
    Dep. of Exp. Med. & Clinic, Univ. Magna Graecia, Catanzaro, Italy
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Medical imaging is becoming a key technique to visualize the internal structure of the body. Magnetic resonance imaging (MRI) is currently used to take different spatial images of organs, such as the heart. The output of such an analysis is a set of images representing different views of the body or of an organ. There exist many algorithms to pre-process and analyze medical images such as the well known Snake segmentation algorithm. An issue in medical imaging is the large size of images, that require large and efficient data stores, and the high computational power needed to process them. For these reasons, the Grid is being more and more used as an ideal environment for medical image processing. This paper presents a first experience in porting the snake algorithm on a Globus-based Grid.
  • Keywords
    biological organs; biomedical MRI; image segmentation; medical image processing; biological organ; body internal structure visualization; globus-based grid; grid-based implementation; magnetic resonance imaging; medical image processing; medical imaging; snake segmentation algorithm; Algorithm design and analysis; Biomedical imaging; Heart; Image analysis; Image segmentation; Iterative algorithms; Magnetic analysis; Magnetic resonance imaging; Medical diagnostic imaging; Visualization; DICOM; Grid; ImageJ; Medical Imaging; Snake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-4879-1
  • Electronic_ISBN
    1063-7125
  • Type

    conf

  • DOI
    10.1109/CBMS.2009.5255424
  • Filename
    5255424