Fitting a model to an experimental spectrum is a difficult nonlinear estimation problem. The solution presented here is to start an iterative search procedure sufficiently close to the optimal model parameter set. This is achieved by providing tissue-dependent a priori peak information and by a novel correlation method to get good primary estimates of the resonance and phase offset parameters. The resulting estimation procedure is fully automatic and has proven to be robust for 31P data.
No takes yet. Share an insight, caveat, or question.
Burger et al. (1991) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: