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Abstract #3082

Accelerating spin-lock imaging using signal compensated low-rank plus sparse matrix decomposition 

Yuanyuan Liu1, Yanjie Zhu1, Yuxin Yang2, Xin Liu1, Hairong Zheng1, and Dong Liang1
1Shenzhen Institutes of Advanced Technology, Shenzhen, China, 2Chongqing University of Technology, Chongqing, China, Chongqing, China

Recent studies show that variations in the rate of $$$T_{1\rho} (R_{1\rho})$$$ reflect changes in the spectral density of the local dipolar fields experienced by protons due to slow molecular motions. The quantitative data for $$$R_{1\rho}$$$ dispersion requires multiple $$$T_{1\rho}$$$-weighted images with different spin lock times (TSLs) and different locking fields, 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 $$$T_{1\rho}$$$-weighted images from highly undersampled data. We provide the reconstructed images, the estimated $$$R_{1\rho}$$$ maps, and the results of $$$R_{1\rho}$$$ dispersion curves at different acceleration factors.

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