A Spatiotemporal-Constrained Sorting Method for Motion-robust 4D-MRI: A Feasibility Study

In this work, a spatiotemporal-constrained sorting technique was developed to improve 4D-MRI motion-robustness. This sorting technique adapted to optimized sparse k-space acquisition trajectory to reduce motion artifacts due to irregular breathing. Self-gating technique and compressed-sensing based image reconstruction methods were incorporated to improve image resolution with reduced imaging time. Both computer simulation study and phantom imaging study proved that the proposed method outperformed the conventional phase-sorting method in motion range assessment with superior image quality

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