• DocumentCode
    3110451
  • Title

    LMS-based Active Noise Cancellation Methods for fMRI Using Sub-band Filtering

  • Author

    Milani, Ali A. ; Panahi, Issa ; Briggs, Richard

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Dallas, TX
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    We present application of adaptive LMS-based method using two different sub-band filtering techniques for active reduction of 3T-fMRI acoustic noise. Analysis and design of the sub-band filters are discussed based on the characteristics of the noise. Using the fMRI-brain scanner acoustic noise, performance of the methods are analyzed and compared for different number of sub-band filters
  • Keywords
    acoustic noise; active noise control; adaptive filters; biomedical MRI; brain; least mean squares methods; medical image processing; 3 T; acoustic noise; active noise cancellation methods; active noise reduction; adaptive LMS-based method; brain scanner; functional MRI; noise characteristics; sub-band filtering; Acoustic noise; Adaptive filters; Biomedical imaging; Filtering; Finite impulse response filter; Least squares approximation; Low-frequency noise; Magnetic analysis; Magnetic separation; Noise cancellation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259731
  • Filename
    4461799