• DocumentCode
    3507274
  • Title

    A repository of MR morphometry data in Alzheimer´s disease and mild cognitive impairment

  • Author

    Heckemann, Rolf A. ; Keihaninejad, Shiva ; Aljabar, Paul ; Gray, Katherine R. ; Nielsen, Casper ; Rueckert, Daniel ; Hajnal, Joseph V. ; Hammers, Alexander

  • Author_Institution
    Neurodis Found., Lyon, France
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    875
  • Lastpage
    878
  • Abstract
    This paper presents a novel, publicly available repository of anatomically segmented brain images of healthy subjects as well as patients with mild cognitive impairment and Alzheimer´s disease. The underlying magnetic resonance images have been obtained from the Alzheimer´s Disease Neuroimaging Initiative database. T1-weighted images (1.5 T and 3 T) have been processed with the multi-atlas based MAPER procedure, resulting in labels for 83 regions covering the whole brain in 816 subjects. Volumetric outliers were reviewed visually to identify limitations of the procedure and the segmentations. Morphometric comparisons between diagnostic groups showed highly significant group differences for a number of individual regions in the temporal lobe and parietal lobes. The segmentations are self-consistent, as evidenced by strong agreement between segmentations of paired images acquired at different field strengths (Jaccard coefficient: 0.802 ± 0.0146). This repository of segmentations is a potentially valuable resource to researchers working with ADNI data.
  • Keywords
    biomedical MRI; brain; diseases; image segmentation; medical image processing; neurophysiology; visual databases; Alzheimer´s Disease Neuroimaging Initiative database; Alzheimer´s disease; MR morphometry data repository; T1 weighted images; anatomically segmented brain images; magnetic flux density 1.5 T; magnetic flux density 3 T; magnetic resonance images; mild cognitive impairment; morphometric comparisons; multiatlas based MAPER procedure; paired image segmentations; parietal lobe; temporal lobe; volumetric outliers; Alzheimer´s disease; Atrophy; Image segmentation; Magnetic resonance imaging; Visualization; brain atlas; brain pathology; image segmentation; magnetic resonance imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872543
  • Filename
    5872543