• DocumentCode
    260149
  • Title

    Segmentation of images IRM by Anatomical Atlas

  • Author

    Kradda, A. Ould

  • Author_Institution
    Lab. d´Inf. et des Technol. de l´Inf. d´Oran “LITIO”, Oran, Algeria
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes a method for segmentation of brain MRI medical images based on the type of knowledge provided preconceptions as Anatomical Atlas. Our approach proceeds by registration of an atlas on a patient image picture of seeking repeatedly to maximize the correspondence between the features of Atlas model and segmented image. The procedure of our approach is essentially divided into two steps: a step of affine registration between the patient and the image atlas anatomiquel, thereby determining the geometric transformation leading to better MRI/Atlas alignment, and a step of resetting at levels nonlinear constrained by processing gray calculated in the first phase. The segmentation of tissues or structures is performed by a hierarchical procedure, where the contours spread atlas allows the segmentation of organs or structures in the patient image.
  • Keywords
    biomedical MRI; geometry; image segmentation; medical image processing; IRM; affine registration; anatomical Atlas model; brain MRI medical image segmentation; geometric transformation; patient image picture; tissue structure; Biomedical imaging; Fabrics; Image segmentation; Magnetic resonance imaging; Measurement; Mutual information; Optimization; Atlas anatomical MRI image processing; Optimization; Registering; Segmentation; similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-7507-5
  • Type

    conf

  • DOI
    10.1109/ISKO-Maghreb.2014.7033483
  • Filename
    7033483