The quantitative 3D-T1ρ mapping requires multiple T1ρ-weighted images with different spin lock times (TSLs) to obtain the T1ρ map, which makes the acquisition time very long. In this work, a signal compensation strategy with low-rank plus sparse model (SCOPE) was used to reconstruct T1ρ-weighted images from highly undersampled data. We provide the reconstructed images and the estimated T1ρ maps at an acceleration factor up to 8.5 in fast 3D-T1ρ cartilage imaging.
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