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%.
