Signal Processing Algorithms for Removing Banding Artifacts in MRI
In Magnetic Resonance Imaging (MRI), the Balanced Steady State Free Precession (bSSFP) pulse sequence has shown to be of great interest, due to its relatively high signal-to-noise ratio in a short scan time. However, images acquired with this pulse sequence suffer from banding artifacts due to off resonance effects. These artifacts typically appear as black bands covering parts of the image and they severely degrade the image quality. In this paper, the authors present a fast two-step algorithm for estimating the unknowns in the signal model and removing the banding artifacts. The first step consists of rewriting the model in such a way that it becomes linear in the unknowns (this step is named Linearization for Off-Resonance Estimation, or LORE).