• DocumentCode
    2744809
  • Title

    FMRI signal source analysis using diffusion-weighted spiral-in acquisition

  • Author

    Song, Allen W. ; Emberger, Karen ; Michelich, Charles R. ; McCarthy, Gregory

  • Author_Institution
    Brain Imaging & Anal. Center, Duke Univ., Durham, NC, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    4417
  • Lastpage
    4420
  • Abstract
    Despite the tremendous growth in functional magnetic resonance imaging (fMRI), susceptibility induced static field inhomogeneity at air/tissue interface have limited the study of ventral brain regions engaged in object recognition and other processes. Furthermore, the spatial extent of fMRI activations in this region may be obscured by contribution of large vessels distant from the precipitating neural events. In this report, a diffusion weighted spiral-in image acquisition was employed to recover fMRI signal in the ventral brain during object recognition with high temporal resolution, as well as to suppress large vessel contributions. The combined methodology of the ventral signal recovery and vascular signal reduction can thus be advantageous for fMRI investigations at the statically inhomogeneous areas.
  • Keywords
    biomedical MRI; blood vessels; brain; object recognition; FMRI signal source analysis; air/tissue interface; diffusion-weighted spiral-in image acquisition; functional magnetic resonance imaging; high temporal resolution; large vessel; object recognition; susceptibility induced static field inhomogeneity; vascular signal reduction; ventral brain regions; ventral signal recovery; Blood; Magnetic analysis; Magnetic resonance imaging; Magnetic susceptibility; Neuroscience; Sampling methods; Signal analysis; Signal processing; Signal resolution; Spirals; diffusion weighting; fMRI; inhomogeneity; signal recovery; susceptibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1404228
  • Filename
    1404228