• DocumentCode
    3405787
  • Title

    Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls

  • Author

    Lai Xu ; Jingyu Liu ; Adal, Tülay ; Calhoun, Vince D.

  • Author_Institution
    MIND Inst., Albuquerque, NM
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    533
  • Lastpage
    536
  • Abstract
    We present a novel multivariate approach called source based morphometry (SBM) to study the novel structural MRI phase images and get sources of relative gray matter and white matter differences between patients and healthy controls. SBM considers the information cross brain voxels and provides spatially maximal independent sources about localization of changes. The structural MRI phase images efficiently summarize the relationship that exists between the gray and white matter without having to increase the dimensionality of the problem. SBM was then applied to the phase images. Results identified patient versus control differences in gray matter and white matter for visual-motor cortex as well as other areas. These interesting findings show that SBM is a useful multivariate approach for studying the brain. Moreover, the use of structural MRI phase images to joint gray and white matter together provides a significant advantage.
  • Keywords
    biomedical MRI; brain; medical image processing; brain voxels; gray matter; multivariate approach; schizophrenia; source based morphometry; structural MRI phase images; visual-motor cortex; white matter; Alzheimer´s disease; Automatic control; Brain; Circuits; Image generation; Independent component analysis; Magnetic resonance imaging; Mental disorders; Statistical analysis; Testing; Source based morphometry; gray matter; phase; schizophrenia; white matter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517664
  • Filename
    4517664