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Abstract #2959

Assessment of compressed sensing for high resolution in vivo mouse cardiac 23 Na chemical shift imaging

Mahon L Maguire 1 , Victoria Thornton 1 , Sairam Geethanath 2 , Vikram D Kodibagkar 3 , and Jurgen E Schneider 1

1 BMRU, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxon, United Kingdom, 2 Dayananda Sagar College of Engineering, Bangalore, India, 3 School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States

In vivo sodium quantification by MR offers direct insight into ion homeostasis and energy metabolism. Compressed sensing methods have the potential to dramatically shorten such lengthy experiments. We evaluate the effects of acceleration factor and signal-to-noise ratio on the fidelity of spectroscopic compressed sensing reconstruction. We also apply the reconstruction to high resolution 23 Na CSI in the beating mouse heart. Compressed sensing accurately reconstructs the spatial and spectral features of the fully sampled data even at high acceleration factors.

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