AN IMPROVED ALGORITHM FOR 2-D TRANSLATIONAL MOTION ARTIFACT CORRECTION

The quality of magnetic resonance imaging systems has improved to the point that motion is a major limitation in many examinations. Translational motion in the imaging plane causes the phase of the data to be corrupted. In this paper an algorithm using computer postprocessing is proposed to correct the phase of the data, hence remove the artifact. This algorithm has superior convergence properties to an earlier algorithm, which is achieved by incorporating additional a priori information specific to the situation. The algorithm is verified using a Shepp and Logan phantom with simulated motion in the imaging plane. It is shown that the algorithm can correct both periodic and random motion, and that the algorithm is not significantly degraded when noise is present.