• DocumentCode
    1707286
  • Title

    Using an adaptive filter to extract the hemodynamic response from fMRI data

  • Author

    Steffener, J. ; Lange, G. ; Bly, B.M. ; Biswal, B. ; Reisman, S.

  • Author_Institution
    Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2003
  • Firstpage
    75
  • Lastpage
    76
  • Abstract
    The Hemodynamic Response Function (HRF) is the impulse response of the blood oxygen level dependent (BOLD) signal in the brain. The BOLD signal is what functional magnetic resonance imaging (fMRI) is sensitive to; therefore, an estimate of the HRF provides valuable information about the underlying function of the brain. The normalized least mean squares adaptive filter estimates the HRF and extracts its shape for every spatial point (voxel) in a time series of fMRI data.
  • Keywords
    adaptive filters; biomedical MRI; haemodynamics; medical image processing; oxygen; time series; O2; blood oxygen level dependent signal; fMRI data time series; functional magnetic resonance imaging; hemodynamic response extraction; impulse response; shape extraction; spatial point; voxel; Adaptive filters; Biomedical engineering; Blood; Data mining; Finite impulse response filter; Hemodynamics; Magnetic resonance imaging; Psychiatry; Signal detection; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
  • Print_ISBN
    0-7803-7767-2
  • Type

    conf

  • DOI
    10.1109/NEBC.2003.1215999
  • Filename
    1215999
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1707286