Breathing motion artifact reduction for MRI with continuously moving table using motion consistent retrospective data selec- tion

Introduction: In MRI with continuously moving table (CMT-MRI) the compensation of breathing motion is a difficult problem. Existing breathing motion compensation techniques for CMT-MRI are either limited to TSE-based sequences where motion consistent snapshots are acquired with one single echo train [1,2], or they apply respiratory gating [3]. The latter approach can fail, however, if the true gating efficiency is lower than estimated a priori, resulting in an insufficient amount of data which can be acquired for the desired region due to the continuous table motion. In this work a novel breathing motion compensation approach for CMT-MRI is proposed. It acquires data redundantly during the whole breathing cycle and retrospectively extracts motion consistent undersampled k-spaces for parallel imaging reconstruction from that data. This approach is particularly suitable for acquisition schemes where the rapid sampling of motion consistent snapshots is not possible.