• DocumentCode
    2809531
  • Title

    Automated reconstruction of the cerebral cortex in multiple sclerosis patients

  • Author

    Shiee, N. ; Bazin, P.-L. ; Reich, Daniel S. ; Pham, D.L.

  • Author_Institution
    Lab. of Med. Image Comput., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    1334
  • Lastpage
    1337
  • Abstract
    Although cortical atrophy in multiple sclerosis (MS) has been reported in the literature, most cortical reconstruction techniques do not account for lesions. In this work, we propose an automated pipeline for cortical reconstruction from magnetic resonance brain images with MS lesions. The pipeline extends previously well validated methods to allow for the presence of lesions and to accommodate multichannel imaging. We validate this approach on simulated and real images. Application of the pipeline to 103 MS brains produces thickness measurements that agree well with the literature.
  • Keywords
    biomedical MRI; biomedical measurement; brain; diseases; image reconstruction; medical image processing; neurophysiology; thickness measurement; MS lesion; accommodate multichannel imaging; automated pipeline; cerebral cortex; cortical atrophy; image reconstruction technique; magnetic resonance brain image; multiple sclerosis patient; thickness measurement; Atrophy; Brain modeling; Cerebral cortex; Image reconstruction; Lesions; Magnetic resonance; Magnetic resonance imaging; Multiple sclerosis; Pipelines; Thickness measurement; Cortical reconstruction; Cortical thickness; Lesion segmentation; Multiple sclerosis;
  • 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.2009.5193311
  • Filename
    5193311