Accelerating T1ρ mapping using patch-based low-rank tensor
Yuanyuan Liu1, Zhuo-Xu Cui1, Xin Liu1, Dong Liang1, and Yanjie Zhu1
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
The proposed method offers better performance than the existing methods in retrospective experiments and can significantly reduce the scan time of T1ρ mapping. This technique might help facilitate fast T1ρ mapping in clinics.
Figure 1. The flow diagram of the proposed method PLANT.
The T1ρ-weighted images at TSL=1ms reconstructed using PLANT, HD-PROST and L+S with different acceleration factors (R=4, 5 and 6) from retrospectively undersampled data. The corresponding error maps are also shown for comparison. The reference image is obtained from the fully sampled k-space data.