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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