Subject motion often leads to serious quality degradation of MR images, especially in quantitative MRI. In this study, a novel reconstruction method was proposed for single-shot T2 mapping based on overlapping-echo detachment planar imaging and synthetic-data-driven learning (SDDL). This method was made robust to severe motion by improved parallel reconstruction and motion correction methods without extra scan. The proposed method was evaluated with human brain experiments. The results show that SDDL-based method can significantly reduce ghosting and motion artifacts in T2 maps in the presence of randomly and continuously subject movement.
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