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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