• DocumentCode
    1939836
  • Title

    Respiratory Noise Correction Using Phase Information

  • Author

    Cheng, Hu ; Li, Yu

  • Author_Institution
    Dept. of Psychological & Brain Sci., Indiana Univ., Bloomington, IN
  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    733
  • Lastpage
    736
  • Abstract
    A novel method called RCP is proposed to correct for the respiratory noise in functional MRI using phase information of the complex image data. The hypothesis is that the information of the respiration-induced signal change is embedded in the phase variation, which can be measured readily. Respiratory noise is significantly reduced after the correction. The new method is compared with RETROICOR and showed comparable results. RCP is superior to RETROICOR in case the respiration deviates from being periodic. This technique is useful for correcting respiratory noise from abnormal breathing.
  • Keywords
    biomedical MRI; image denoising; medical image processing; pneumodynamics; RETROICOR; abnormal breathing; complex image data; functional MRI; phase information; phase variation; respiration-induced signal change; respiratory noise correction; Biomedical engineering; Biomedical informatics; Biomedical monitoring; Filtering; Frequency; Magnetic resonance imaging; Noise reduction; Phase noise; Power harmonic filters; Wiener filter; Phase; Respiratory Noise; fMRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.334
  • Filename
    4549272