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Abstract #3257

Application of Compressed Sensing to 2D and 3D Relaxometry and Related Experiments

Hasan Celik 1 , Ariel Hafftka 2 , Alexander Cloninger 3 , Wojciech Czaja 2 , and Richard G. Spencer 1

1 National Institute on Aging, National Institutes of Health, Baltimore, MD, United States, 2 Department of Mathematics, University of Maryland, College Park, MD, United States, 3 Applied Mathematics Program, Yale University, New Haven, CT, United States

Use of compressed sensing (CS) can significantly decrease acquisition times for multidimensional NMR relaxometry and related experiments. . In the present work, we apply the CS approach of Cloninger et al. for the first time to two experimental systems, olive oil and bovine patella articular cartilage. Further, we present an extension of the algorithm from 2D to 3D, with further experimental validation using the olive oil phantom.

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