• DocumentCode
    2520362
  • Title

    SIGNAL AND ANATOMICAL CONSTRAINTS IN ADAPTIVE FILTERING OF FMRI DATA

  • Author

    Borga, M. ; Rydell, J.

  • Author_Institution
    Dept. of Biomed. Eng., Linkoping Univ.
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    An adaptive filtering method for fMRI data is presented. The method is related to bilateral filtering, but with a range filter that takes into account local similarities in signal as well as in anatomy. Performance is demonstrated on simulated and real data. It is shown that using both these similarity constraints give better performance than if only one of them is used, and clearly better than standard low-pass filtering.
  • Keywords
    adaptive filters; biomedical MRI; brain; medical signal detection; adaptive filtering; bilateral filtering; fMRI; low-pass filtering; Adaptive filters; Filtering; Kernel; Low pass filters; Magnetic noise; Magnetic resonance imaging; Magnetic separation; Shape; Spatial filters; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356881
  • Filename
    4193315
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2520362