• DocumentCode
    2521201
  • Title

    ADAPTIVE SEGMENTATION OF INTERNAL BRAIN STRUCTURES IN PATHOLOGICAL MR IMAGES DEPENDING ON TUMOR TYPES

  • Author

    Khotanlou, Hassan ; Atif, Jamal ; Angelini, Elsa ; Duffau, Hugues ; Bloch, Isabelle

  • Author_Institution
    CNRS, Ecole Nat. Superieure des Telecommun., Paris
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    588
  • Lastpage
    591
  • Abstract
    This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor´s type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.
  • Keywords
    biomedical MRI; brain; image recognition; image segmentation; medical image processing; tumours; adaptive segmentation; internal brain structures; pathological MR images; recognition; tumor; Anatomical structure; Brain; Deformable models; Humans; Image segmentation; Magnetic resonance imaging; Neoplasms; Neurosurgery; Oncology; Pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356920
  • Filename
    4193354