The SNR Advantage of Radial GROWL Vs. Cartesian Parallel Imaging

Wei Lin¹, Feng Huang¹, Charles Saylor¹, Enrico Simonotto¹, Arne Reykowski¹, Randy Duensing¹

The SNR performance of radial GROWL is compared with Cartesian SENSE. Monte Carlo simulation results show that GROWL without regularization gives a lower RMSE and g-factor map than Cartesian SENSE, due to the ability to use coils aligned along two orthogonal directions. With a k-space adaptive Tikhonov regularization, the g-factor of GROWL reconstruction can be further lowered than much less than the unity. in vivo brain study demonstrates that radial GROWL can be used to accelerate 3D MP-RAGE acquisition by a factor of eight using an 8-channel head coil with an acceptable image SNR.