• DocumentCode
    3405653
  • Title

    Anti-alias image reconstruction in magnetic resonance imaging

  • Author

    Ito, Satoshi ; Nakamura, Shun ; Liu, Na ; Yamada, Yoshifumi

  • Author_Institution
    Dept. of Inf. Sci., Utsunomiya Univ., Utsunomiya
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    505
  • Lastpage
    508
  • Abstract
    An image reconstruction technique that reduces aliasing artifacts by scalable image reconstruction in magnetic resonance imaging is proposed. The signal obtained by the phase-scrambling Fourier imaging technique can be transformed to the signal described in the Fresnel transform equation of the objects. Therefore, image reconstruction can be performed not only by inverse Fourier transform but also by inverse Fresnel transform. Image reconstruction by inverse Fresnel transform allows shrinking of images of rather wide scales. Thus, alias-free images can be reconstructed even from signals that produce aliasing artifacts by standard Fourier transform reconstruction. Simulation and experimental studies reveal that the proposed method can be used to produce anti-alias images.
  • Keywords
    Fourier transforms; antialiasing; image reconstruction; magnetic resonance imaging; antialias image reconstruction; inverse Fourier transform; inverse Fresnel transform; magnetic resonance imaging; phase-scrambling Fourier imaging technique; Coils; Convolution; Data acquisition; Encoding; Fourier transforms; Image reconstruction; Integral equations; Magnetic resonance imaging; Optical imaging; Radio frequency; Antialiasing; Image reconstruction; Magnetic resonance imaging; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517657
  • Filename
    4517657