• DocumentCode
    683900
  • Title

    Detecting grey matter changes in preclinical phase of Alzheimer´s disease by voxel-based morphometric and textural features: A preliminary study

  • Author

    Liu, Su ; Yang, Huifang ; Tong, Longzheng ; Liu, Weifang

  • Author_Institution
    School of Biomedical Engineering, Capital Medical University, Beijing, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    30
  • Lastpage
    34
  • Abstract
    In the present study, a voxel-based morphometry (VBM) and three dimensional texture analysis were used to detect brain structural changes of AD subjects in preclinical phase. Three groups of T1-weighed MRI data were selected from Open Access Series of Imaging Studies (OASIS) database, including 13 converted subjects (CS) who were cognitively healthy at baseline, 13 non-demented subjects (NS) remained cognitively healthy, and 64 demented subjects (DS) for control study. Results showed grey matter (GM) atrophy in bilateral occipital lobe, superior temporal gyrus, and left inferior temporal lobe in CS (p< 0.001); textural features of the largest cluster significantly differed from that of NS, with the classification accuracy of 88.5% through cross validation, which may highlight the key role of these regions in prediction of the disease. Morphometric measurement plus texture analysis presents feasible in detecting preclinical AD.
  • Keywords
    Atrophy; Dementia; Educational institutions; Magnetic resonance imaging; Support vector machines; Temporal lobe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747494
  • Filename
    6747494