• DocumentCode
    2519410
  • Title

    RECONSTRUCTION OF CENTRAL CORTICAL SURFACE FROM BRAIN MRI IMAGES: METHOD AND APPLICATION

  • Author

    Nie, Jingxin ; Liu, Tianming ; Guo, Lei ; Wong, Stephen T C

  • Author_Institution
    Center for Bioinf., Harvard Med. Sch., Boston, MA
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    Reconstruction of the geometric central surface of the human cerebral cortex is an important means to study the structure and function of the brain cortex. In this paper, we propose a novel method based on an elastic deformable transform vector field to drive a deformable model for the reconstruction of the central surface of the brain cortex. In addition, simulated brain cortexes are generated to evaluate this method. We report the evaluation results obtained from ten subjects to show the effectiveness of our approach. We applied the central cortical surface reconstruction method and the hybrid cortical surface registration method to detect simulated brain atrophy. Our results indicate that the central cortical surface has much better sensitivity in detecting simulated atrophy than traditionally used inner or outer cortical surfaces
  • Keywords
    biomechanics; biomedical MRI; brain models; deformation; diseases; elasticity; image reconstruction; image registration; medical image processing; neurophysiology; brain MRI images; brain cortex function; brain cortex structure; central cortical surface; central cortical surface reconstruction; deformable model; deformable transform vector field; elastic transform vector field; human cerebral cortex; hybrid cortical surface registration; simulated atrophy; simulated brain atrophy detection; simulated brain cortex; Atrophy; Brain modeling; Cerebral cortex; Deformable models; Humans; Image reconstruction; Image segmentation; Magnetic resonance imaging; Reconstruction algorithms; Surface reconstruction;
  • 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.2007.356826
  • Filename
    4193260