T1ρ mapping requires the acquisition of multiple T1ρ-weighted images with different spin lock times to obtain the T1ρ maps, resulting in a long scan time. Compressed sensing has shown good performance in fast quantitative T1ρ mapping. In this study, we used a patch-based low-rank tensor imaging method to reconstruct the T1ρ-weighted images from highly undersampled data. Preliminary results show that the proposed method achieves a 6-fold acceleration and obtains more accurate T1ρ maps than the existing methods.
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