• DocumentCode
    3715293
  • Title

    New method of tumor extraction using a histogram study

  • Author

    Sandabad Sara;Benba Achraf;Sayd Tahri Yassine;Hammouch Ahmed

  • Author_Institution
    Laboratory LRGE, ENSET, Mohamed V University, Rabat, Morocco
  • fYear
    2015
  • Firstpage
    813
  • Lastpage
    817
  • Abstract
    The tumor location, evaluation of its shape, its position and its interactions with close brain structures, etc., are medical acts very important and in great demand. Clinical Tools brain´s observation areas are now numerous, like X-ray scanner, magnetic resonance imaging (MRI), computed tomography and scintigraphy. Among these techniques, MRI is the increasingly used. This non-invasive technique exploits the magnetic properties of tissues and allows the observation of brain anatomy. The resulting image with high resolution allows the precise location of the various structures. Actually MRI technology allows to have digital images with image restoration "of the material" necessary for the implementation of processing and analysis algorithms that helps in the diagnosis of brain tumors. The real challenge is to accurately detect the tumor area. In this article we present a new method for detecting and segmenting tumor regions. This method consists of two steps: a) study and histogram analysis of the MRI image to find a threshold of intensity which can help us to extract tumor; b) tumor detection and extraction. Our method will be completed by a characterization of the tumor area by determining its geometric properties.
  • Keywords
    "Magnetic resonance imaging","Image segmentation","Histograms","Biomedical imaging","Lesions","Databases"
  • Publisher
    ieee
  • Conference_Titel
    SAI Intelligent Systems Conference (IntelliSys), 2015
  • Type

    conf

  • DOI
    10.1109/IntelliSys.2015.7361235
  • Filename
    7361235