• DocumentCode
    1146706
  • Title

    Two- and three-dimensional numerical analysis of gradient and parasitic gradient fields of a three-channel surface gradient coil for magnetic resonance imaging

  • Author

    Shi, Funan ; Ludwig, Reinhold

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Worcester Polytech. Inst., MA, USA
  • Volume
    32
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    195
  • Lastpage
    207
  • Abstract
    For many organ-specific magnetic resonance imaging (MRI) applications, surface gradient coils (SGCs) offer an attractive alternative to the whole-body gradient coils presently employed in MR scanners. This investigation develops a 2D and 3D numerical analysis and design strategy based on the magnetic scalar and vector potentials to obtain the field strength and field linearity within a localized imaging area. It is demonstrated that for a predefined volume of interest, a given planar SGC configuration can achieve up to 80 Gauss/cm magnetic field gradient, which significantly exceeds the 1-3 Gauss/cm of whole-body coils based on the same current excitation of 100 A and inductance employed in typical whole-body instruments. In order to test the accuracy of the authors´ numerical design, a Gy gradient coil was fabricated. It is found that the measured field distribution is in excellent agreement with the authors´ 3D theoretical predictions. Furthermore, this Gy gradient coil was installed in a GE CSI II 2 Tesla 15 cm bore MRI instrument which permits a direct comparison of the image quality with the computer predicted field linearity. Therefore, this numerical modeling approach proves very useful in analyzing and ultimately optimizing planar SGC coils for organ-specific MRI applications
  • Keywords
    biomedical NMR; biomedical equipment; coils; numerical analysis; 100 A; 15 cm; 2 T; 2D numerical analysis; 3-channel surface gradient coil; 3D numerical analysis; design strategy; field linearity; field strength; magnetic resonance imaging; magnetic scalar potential; medical diagnostic imaging; organ-specific imaging; parasitic gradient field; vector potential; Coils; Gaussian processes; Inductance; Instruments; Linearity; Magnetic field measurement; Magnetic fields; Magnetic resonance imaging; Numerical analysis; Testing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.477572
  • Filename
    477572