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Abstract #3967

Random under-sampling and spectra reconstruction for in vivo 13C magnetic resonance spectroscopy

Ningzhi Li1, Shizhe Steve Li1, and Jun Shen1

1National Institute of Mental Health, Bethesda, MD, United States

The present study proposes and evaluates a novel under-sampled decoupling strategy in which no decoupling was applied during randomly selected segments of data acquisition. By taking advantage of the sparse spectral pattern of carboxylic/amide region of in vivo 13C spectra of brain, an iterative algorithm was developed to reconstruct spectra from under-sampled data. Simulations and in vivo experiments show that this novel decoupling and data processing strategy can effectively reduce decoupling power deposition by >30%.

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