Numerical evaluation of shaped surface coil sensitivity at 63 MHz

Surface coils are widely used in magnetic resonance studies due to their superior signal to noise (SNR) properties. When shaping planar coils to cylindrical surfaces, the region with maximum sensitivity migrates from the coil plane towards the centre of the shaping radius. The influence of the coil current, the probe and tissue dimensions, the electrical tissue properties and the operating frequency on the B1 field strength of a coil has been studied using statistical methods. This analysis allows the dependence of the axial SNR distribution of circular and square surface coils on shaping radius and coil dimensions to be evaluated quantitatively using 3D finite element methods. An empirically derived equation describing the dependence of the SNR distributions on coil geometry and depth allows the optimum coil dimensions to be predicted for a given shaping radius and desired optimized depth of sensitivity. Simulations are validated experimentally using both B1 and SNR mapping techniques. A comparison between the axial SNR of circular and square coils demonstrated equal SNR distributions of coils with equivalent area at depth.