• DocumentCode
    2203003
  • Title

    Sulcal variability in a computerized brain atlas

  • Author

    Desvignes, Michel ; Royackkers, Nicolas ; Revenu, Marinette

  • Author_Institution
    Caen Univ., France
  • Volume
    2
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    700
  • Abstract
    Computerized sulci atlas includes a mean representation of a standard brain in a standardized coordinate space, such as the Talairach´s grid. In this reference system, differences between sulci at the surface of the brain are due to shape differences of the brain and to intrinsic anatomical differences of sulci. In this paper, four different methods are compared: non-proportional, global linear, local linear (Talairach) and nonlinear methods. From nine brains where sulci are labeled, a model of their mean location and its variability is computed. As expected, the nonlinear method is the most accurate one, with fewer variations than others
  • Keywords
    biomedical NMR; brain models; feature extraction; image matching; image registration; medical image processing; 3D MRI; Talairach´s grid; computerized brain atlas; cortical sulci; global linear method; intrinsic anatomical differences; local linear method; mean location; mean representation; model; nonlinear method; nonproportional method; shape differences; standard brain; standardized coordinate space; sulcal variability; Brain modeling; Gravity; Grid computing; Hospitals; Humans; Magnetic resonance imaging; Positron emission tomography; Shape; Surgery; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-3811-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.651935
  • Filename
    651935