The Necessity of Coil Sensitivity and Gradient Non-Linearity Distortion Corrections in Prospective Motion Correction

Patient motion during an MRI of the brain can result in non-diagnostic image quality. Even with perfect prospective motion tracking and correction, the varying coil sensitivity and gradient non-linearity can cause significant artifacts that cannot be corrected prospectively. Recently, a model-based MR image reconstruction via iterative solver was employed to minimize the sensitivity misalignment due to coil or physiological movement. In this study, we extended the mentioned model by gradient warp correction to reconstruct the prospective Mo-Co MR data. The result shows the improvement that is free from both artifacts after a few iterations of the proposed technique.

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