• DocumentCode
    2434596
  • Title

    Extracting lines of maximal depth from MR images of the human brain

  • Author

    Lohmann, Gabriele ; Kruggel, Frithjof

  • Author_Institution
    Max-Planck-Inst. of Cognitive Neurosci., Leipzig, Germany
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    518
  • Abstract
    This paper describes a new approach to the automatic detection of the bottom lines of the main cortical sulci using MR images of the human brain. The principle idea is to extract lines of maximal depth as measured from the smoothed brain surface. The main advantage of our approach over existing methods is that it is not based on curvature estimation. It is therefore much more robust and easier to implement
  • Keywords
    biomedical NMR; brain; edge detection; feature extraction; neurophysiology; MR images; cortical sulci; feature extraction; human brain; magnetic resonance images; maximal depth line extraction; Brain mapping; Humans; Image analysis; Image segmentation; Magnetic resonance; Neuroscience; Performance evaluation; Robustness; Surface topography; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547001
  • Filename
    547001