• DocumentCode
    2802522
  • Title

    Robust segmentation of brain structures in MRI

  • Author

    Murgasova, Maria ; Rueckert, Daniel ; Edwards, David ; Hajnal, Jo

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    A novel method for the segmentation of brain structures combining registration-based and EM-based approaches is proposed. To address the issue of intensity variation within brain structures, we propose a method for creating spatial prior corresponding very well with the new subject anatomy, referred to as subject-specific atlas. The subject-specific atlas is created using multiple non-rigid registrations with the new subject, and therefore a robust non-rigid alignment of the prior with the image is achieved. The final EM segmentation step ensures a good quality classification of the complicated cortical structures based on intensity. The evaluation of the proposed method shows consistent results superior to both, registration-based and EM-based approaches.
  • Keywords
    biomedical MRI; brain; expectation-maximisation algorithm; image classification; image registration; image segmentation; medical image processing; EM segmentation step; anatomy; biomedical MRI; brain structures; cortical structures; image segmentation; multiple nonrigid registrations; subject-specific atlas; Anatomy; Brain; Costs; Educational institutions; Image segmentation; Information processing; Labeling; Magnetic resonance imaging; Robustness; Voting; EM segmentation; brain MRI; registration; segmentation; structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5192972
  • Filename
    5192972