• DocumentCode
    2153267
  • Title

    Measuring the cortical thickness [MRI segmentation procedure]

  • Author

    Kruggel, Frithjof ; Von Cramon, D. Yves

  • Author_Institution
    Max-Planck-Inst. of Cognitive Neurosci., Leipzig, Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    154
  • Lastpage
    161
  • Abstract
    Besides normal aging, a number of brain diseases are known to reduce the amount of grey matter in the brain. To better understand the nature and progression of these disease processes, quantitative measurements of relevant brain structures, such as the regional cortical thickness, are highly desirable. Starting from high resolution volumetric MR images of the human head, a reliable segmentation procedure for the grey matter compartment is described which allows thickness measurements at sub-voxel resolution. Simulation experiments and comparisons with published data from histological examinations prove the validity of results
  • Keywords
    biomedical MRI; brain; diseases; image resolution; image segmentation; medical image processing; thickness measurement; MRI segmentation procedure; brain diseases; brain grey matter amount reduction; cortical thickness measurement; high resolution volumetric MR images; histological examinations; human head; medical diagnostic imaging; regional cortical thickness; reliable segmentation procedure; subvoxel resolution; Aging; Alzheimer´s disease; Brain; Data mining; Degenerative diseases; Humans; Image segmentation; Neurons; Neuroscience; Thickness measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Biomedical Image Analysis, 2000. Proceedings. IEEE Workshop on
  • Conference_Location
    Hilton Head Island, SC
  • Print_ISBN
    0-7695-0737-9
  • Type

    conf

  • DOI
    10.1109/MMBIA.2000.852372
  • Filename
    852372