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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