Abstract #4565

Accelerating Bi-exponential T1ρ mapping using SCOPE

Yuanyuan Liu¹, Yanjie Zhu¹, Jing Cheng¹, Weitian Chen², Xin Liu¹, and Dong Liang^1,3

¹Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, ²Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong, China, ³Research center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Mono-exponential T_1ρ mapping requires 4 or 5 T_1ρ-weighted images with different spin lock times (TSLs) to obtain the T_1ρ maps, while bi-exponential T_1ρ mapping requires a larger number of TSLs, which further prolongs the acquisition time. In this work, we develop a variable acceleration rate undersampling strategy to reduce the total scan time. A signal compensation strategy with low-rank plus sparse model was used to reconstruct the T_1ρ-weighted images. We provide the reconstructed images and the estimated T_1ρ maps at an acceleration factor up to 6.1 in fast bi-exponential T_1ρ mapping.

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