Characterising Magnetic Field Drift in Rosette-MRSI Data in-vivo

Field drift correction is an important post-processing step in MRS and MRSI that yields considerable improvements in spectral quality and metabolite quantification. While several drift correction methods have been proposed in single-voxel MRS, drift correction in MRSI is more challenging due to the application of phase encoding gradients. In such cases, separately acquired navigator echoes are needed. Here, we demonstrate the use of self-navigating Rosette-MRSI trajectories for characterising scanner magnetic field drift using time-domain spectral registration in-vivo. Results from the study showed substantial increases in SNR and spectral quality of the acquired data.