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Abstract #1408

Prospective Fast T1ρ Mapping of Knee Articular Cartilage using Compressed Sensing

Mingrui Yang1, Jeehun Kim1,2, Chaoyi Zhang3, Leslie Ying3, and Xiaojuan Li1

1Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, 2Electrical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Electrical Enigeering, University of Buffalo, Buffalo, OH, United States

Quantitative magnetic resonance (MR) mapping is known to provide additional information compared to the conventional qualitative weighted MR images. Relaxation times such as spin-spin relaxation time (T2) and spin-lattice relaxation time (T1ρ) have been shown enable early detection of human knee cartilage degeneration. Obtaining these relaxation parameter maps, however, requires long acquisition time. Compressive sensing (CS) has been extensively studied over the last decade as one of the possible ways to accelerate MR acquisition. These studies, however, are retrospective. In this study, we perform a prospective downsampling study on T1ρ mapping of knee cartilage using CS, which implements the downsampling pattern into the in vivo MR scan sequence.

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