Abstract #3452

Highly accelerated T1ρ imaging with Kernel-based low-rank compressed sensing: evaluation of retrospective and prospective undersampling

Jeehun Kim^1,2, Chaoyi Zhang³, Mingrui Yang^1,2, Hongyu Li³, Mei Li^1,2, Richard Lartey^1,2, Leslie Ying^3,4, and Xiaojuan Li^1,2,5

¹Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, ²Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, ³Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, NY, United States, ⁴Biomedical Engineering, University at Buffalo, the State University of New York, Buffalo, NY, United States, ⁵Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, United States

Quantitative T_1ρ MRI provides valuable information on compositional changes in cartilage, but requires longer scan time compared to conventional imaging. In this work, kernel-based low-rank compressed sensing reconstruction was used to accelerate T_1ρ imaging and the retrospective and prospective undersampled results from four subjects were compared to reference T_1ρ values.

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