• DocumentCode
    1841532
  • Title

    Numerical Study of the Optimal Geometry of MRI Surface Coils

  • Author

    Rojas, R. ; Rodriguez, A.O.

  • Author_Institution
    Univ. Autonoma Metropolitana-Iztapalapa, Mexico City
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3890
  • Lastpage
    3893
  • Abstract
    An image based method to compute the signal to noise ratio and specific energy absorption rate of MRI surface resonator coil for different polygonal geometries is proposed. A commercial software tool based on the Finite Element Method was used to numerically solve the Maxwell´s equations to form bidimensional images of the electric and magnetic fields. These images represent the point by point fields inside the surface coil. With this data, MATLAB specifically written programs were used to numerically compute the signal to noise ratio and the specific absorption rate for different surface coil geometries. Bidimensional images and contours of the signal to noise ratio and specific absorption rate were also computed and compared. Uniformity profiles of various geometries were calculated using the resulting data to determine the optimal field uniformity. According to the signal to noise ratio images, the squared shaped coil shows the most suitable uniformity for magnetic resonance imaging applications. This can be a good candidate for phased array imaging and parallel imaging.
  • Keywords
    Maxwell equations; biomedical MRI; coils; finite element analysis; image representation; mathematics computing; medical image processing; resonators; MATLAB; MRI surface resonator coil; Maxwell equations; bidimensional images; commercial software tool; finite element method; image based method; image representation; magnetic resonance imaging; optimal field uniformity; parallel imaging; phased array imaging; point by point fields; signal to noise ratio computation; specific energy absorption rate; squared shaped coil; surface coil geometries; Absorption; Coils; Computational geometry; Finite element methods; Magnetic fields; Magnetic resonance imaging; Maxwell equations; Phased arrays; Signal to noise ratio; Software tools; Finite Element Analysis; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353183
  • Filename
    4353183