• DocumentCode
    2229555
  • Title

    Brain Imaging for Diagnosis of Schizophrenia: Challenges, Successes and a Research Road Map

  • Author

    Shelton, Jack O. ; Arabnia, Hamid R.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Georgia, Athens, GA, USA
  • fYear
    2012
  • fDate
    16-18 April 2012
  • Firstpage
    578
  • Lastpage
    583
  • Abstract
    Valid diagnosis of Schizophrenia continues to be a difficult task. Diagnosis tools based on new developments in brain imaging are not yet a part of accepted Schizophrenia diagnosis criteria. This paper presents some of the challenges involved, some of the progress made, and an approach entitled Tract-Based Spacial Statistics (TBSS) which intends to avoid many of the issues of traditional voxel-based morphometry, region of interest, and tractography approaches to brain image analysis. A parallel machine architecture is also proposed to help meet the computational needs of Tract-Based Spacial Statistics.
  • Keywords
    brain; diseases; medical image processing; neurophysiology; parallel architectures; parallel machines; patient diagnosis; TBSS; brain image analysis; brain imaging; diagnosis tools; parallel machine architecture; region of interest; research road map; schizophrenia diagnosis; tract-based spacial statistics; tractography approaches; voxel-based morphometry; Brain; Diffusion tensor imaging; Image resolution; Program processors; Skeleton; Standards; Brain Imaging; Parallel Computing; Schizophrenia; TBSS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-0798-7
  • Type

    conf

  • DOI
    10.1109/ITNG.2012.125
  • Filename
    6209169