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
fDate :
3/1/2000 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on