• DocumentCode
    1333674
  • Title

    Ultimate signal-to-noise-ratio of surface and body antennas for magnetic resonance imaging

  • Author

    Schnell, Wilfried ; Renz, Wolfgang ; Vester, Markus ; Ermert, Helmut

  • Author_Institution
    Marketing Technol. Modules Dept., Siemens AG, Munich, Germany
  • Volume
    48
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    418
  • Lastpage
    428
  • Abstract
    Approximating the human body by a homogeneous half-space or cylinder the electromagnetic fields of surface antennas or wholebody antennas for magnetic resonance imaging (MRI) can analytically be calculated. Using these expressions the signal-to-noise ratio (SNR) of a general magnetic resonance detecting antenna can be predicted. We show how the optimum magnetic resonance antenna must look like to achieve the maximum SNR, which is also presented. Finally, we apply the derived formulas to special antenna geometries like the single- and the double-loop coil, the magnetic dipole, and the “birdcage” resonator
  • Keywords
    biomedical MRI; dipole antennas; electromagnetic fields; loop antennas; magnetic moments; noise; EM field; MRI; SNR; antenna geometries; array antennas; birdcage resonator; body antennas; cylinder; double-loop coil; electromagnetic fields; homogeneous half-space; magnetic dipole; magnetic resonance detecting antenna; magnetic resonance imaging; optimum magnetic resonance antenna; signal-to-noise-ratio; single-loop coil; surface antennas; wholebody antennas; Dipole antennas; Electromagnetic analysis; Electromagnetic fields; Geometry; Humans; Image analysis; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.841903
  • Filename
    841903