Abstract #2744

Accelerating 3D-T1ρ cartilage imaging using signal compensated low-rank plus sparse matrix decomposition

Yuanyuan Liu^1,2, Weitian Chen³, Xin Liu¹, Hairong Zheng¹, Dong Liang^1,2, and Yanjie Zhu¹

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

The quantitative 3D-T_1ρ mapping requires multiple T_1ρ-weighted images with different spin lock times (TSLs) to obtain the T_1ρ 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 T_1ρ-weighted images from highly undersampled data. We provide the reconstructed images and the estimated T_1ρ maps at an acceleration factor up to 8.5 in fast 3D-T_1ρ cartilage imaging.

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