• DocumentCode
    2341663
  • Title

    Estimating the Coil Sensitivity Maps from the Surface Images in Parallel Imaging

  • Author

    Liu, XiaoFang ; Ye XiuZi ; Liu, Feng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Directly from the surface coil images, a new adaptive smoothing method for estimating the surface coil sensitivity is proposed in this paper. When the coil sensitivity maps estimated by this method are applied to reconstruct the full Field-Of-View image from the under-sampled images, the quality of the reconstructed image in parallel magnetic resonance imaging is improved. As a result, without using the body coil for additional reference scans, the proposed method is valuable for determining the coil sensitivity maps alone from the receive coil surface images. Furthermore, the study innovatively poses that the relatively distinct coil sensitivity maps could be utilized to reconstruct full Field-Of-View image in aim of speed-up magnetic resonance imaging.
  • Keywords
    biomedical MRI; image reconstruction; image sampling; medical image processing; adaptive smoothing method; body coil; coil sensitivity map; field-of-view image; image quality; image reconstruction; parallel magnetic resonance imaging; surface coil image; surface coil sensitivity estimation; under-sampled image; Anisotropic magnetoresistance; Coils; Computer science; Educational institutions; Encoding; Image reconstruction; Magnetic resonance imaging; Smoothing methods; Surface reconstruction; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5315-3
  • Type

    conf

  • DOI
    10.1109/ICBECS.2010.5462506
  • Filename
    5462506