Spatially resolved 2D spectroscopy with stochastic RF excitation

Abstract

Spatially resolved 2D spectroscopy is of interest in cases like materials science, where unknown substances are to be identified, and in medicine and biology, where the second spectroscopic dimension provides important clues for the identification of signals in crowded spectra. Stochastic RF excitation is of particular interest in high-field imaging of large objects, since the RF power requirements are reduced by several orders of magnitude as compared to pulsed excitation. The third-order response theory for spatially resolved spectroscopy is presented. It is shown how, in addition to time-consuming cross-correlation in the time domain, spatially resolved 2D spectra can be computed more efficiently in the frequency domain using an algorithm known from stochastic 2D NMR spectroscopy.