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Abstract #3452

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

Jeehun Kim1,2, Chaoyi Zhang3, Mingrui Yang1,2, Hongyu Li3, Mei Li1,2, Richard Lartey1,2, Leslie Ying3,4, and Xiaojuan Li1,2,5
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 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 imaging and the retrospective and prospective undersampled results from four subjects were compared to reference T values.

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