• DocumentCode
    1578179
  • Title

    Analysis of stroke Magnetic resonance images

  • Author

    Kabir, Yacine ; Belhadj-aissa, A.

  • Author_Institution
    Electron. Dept., Blida Univ., Blida
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR modality and there is an obvious gain in trying to account for various sources of information in a single procedure. To this aim, we propose a multimodal Markov random field model which includes all MR modalities simultaneously. The results of the multimodal method proposed are compared with those obtained with a mono- dimensional segmentation applied on each MRI sequence separately. We constructed an Atlas of blood supply territories to help clinicians in the determination of stroke subtypes and potential functional deficit.
  • Keywords
    Markov processes; biomedical MRI; haemodynamics; image segmentation; image sequences; random processes; blood supply territory; image segmentation; image sequences; multimodal Markov random field model; stroke magnetic resonance images; Blood flow; Costs; Hemorrhaging; Image analysis; Image segmentation; Ischemic pain; Lesions; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; component; formatting; insert; style; styling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
  • Conference_Location
    Damascus
  • Print_ISBN
    978-1-4244-1751-3
  • Electronic_ISBN
    978-1-4244-1752-0
  • Type

    conf

  • DOI
    10.1109/ICTTA.2008.4530104
  • Filename
    4530104