Hu Cheng1, Wei Lin2, Feng Huang2
1Indiana University, Bloomington, IN,
United States; 2Invivo Diagnostic Imaging, Gainesville, FL, United
States
In
fMRI, temporal SNR is the main concern in the optimization of parallel
imaging algorithms such as GRAPPA. It is shown in this work that adding noise
to the auto-calibration signal (ACS) region of GRAPPA data can increase the
temporal SNR of fMRI series, with a minimal impact on image quality. Simulation on the EPI images of a phantom
and human subject demonstrated that image quality can be improved by adding a
certain amount of noise to the raw data of reference scans, while the
temporal SNR can be further improved with a higher level of additive ACS
noise.