3D multi-slab multi-shot diffusion-weighted EPI can enable high-resolution diffusion-tensor imaging (DTI). Furthermore, in order to avoid the slab boundary artefacts, 3D-MUSER was proposed to enable 3D phase correction for effectively reconstructing nearly whole brain 3D DTI data acquired with only a single slab. Compressed sensing (CS) was also combined with 3D-MUSER to further reduce the scan time, but the previously proposed pseudo-random sampling strategy was still suboptimal for CS reconstruction. Therefore, we propose a novel variable-density k-space sampling strategy that is compatible with 3D-MUSER and able to achieve highly-accelerated and high-quality 3D DTI by taking the full advantage of CS.
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