• DocumentCode
    2895790
  • Title

    An Automatic Brain Alignment Tool

  • Author

    Sturm, Deborah ; Koshy, Philip ; Kovalerchik, Diana ; Thakkar, Nirav

  • Author_Institution
    Coll. of Staten Island, Comput. Sci. Dept., CUNY, Staten Island, NY, USA
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    The location, size and shape of Multiple Sclerosis (MS) lesions are often used to diagnose and track disease progression. In order to effectively compare lesions in MRI stacks for the same patient imaged at intervals, these stacks must be aligned. This automatic alignment method was designed to minimize modification of segmented pixel values. The aligned lesion stacks can be browsed independently or in tandem. This should provide a valuable tool for computer-aided diagnosis and disease tracking.
  • Keywords
    biomedical MRI; brain; diseases; image resolution; medical diagnostic computing; MRI stacks; automatic brain alignment tool; computer-aided diagnosis; disease progression diagnosis; disease progression tracking; multiple sclerosis lesions; segmented pixel values; Diseases; Image processing; Image segmentation; Interpolation; Lesions; Magnetic resonance imaging; Multiple sclerosis; Rendering (computer graphics); Shape; Visualization; Computer-aided diagnosis/tracking; Multiple Sclerosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-6270-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2010.101
  • Filename
    5501702