Ultimate Intrinsic Signal-to-Noise Ratio in MRI: theory and applications
by
Prof.Riccardo Lattanzi(New York University Langone Medical Center)
→
Europe/Rome
250 (Aula)
250
Aula
Description
At high and ultra-high field magnetic resonance imaging (MRI), understanding interactions between tissues and the electromagnetic fields generated by radiofrequency coils becomes crucial for safe and effective coil design as well as for insight into limits of performance. We developed a rigorous electrodynamic modeling framework, using dyadic Green’s functions, to derive the electromagnetic field in homogeneous spherical and cylindrical samples resulting from arbitrary surface currents. We showed how to calculate ideal current patterns that result in the highest possible signal-to-noise ratio (ultimate intrinsic signal-to-noise ratio) compatible with electrodynamic principles. We identified familiar coil designs within optimal current patterns at low to moderate field strength, thereby establishing and explaining graphically the near-optimality of traditional surface and volume quadrature designs. We also document the emergence of less familiar patterns, e.g., involving substantial electric- as well as magnetic-dipole contributions, at high field strength. Our method can serve as a tool for the evaluation of coil designs, as well as a tool to guide the development of original designs that may begin to approach the optimal performance.