Hyperpolarized 13C MRSI with chemical shift encoding relies on a priori knowledge of the N 13C-labeled metabolite resonances and N+1 echoes to fully determine the reconstruction. However, the a priori frequencies may shift due to B0 inhomogeneity, local susceptibilities, or motion, causing spectral leakage, blurring, and biased quantitative measures. To address these uncertainties, we apply IDEAL-based k-t spiral imaging with field-of-view oversampling to further constrain the signal model-based reconstruction in situations where the echo-spacing may be suboptimal, and we test the results in digital simulations, phantom experiments, and in vivo studies of murine renal metabolism. Results support improved metabolic quantification.
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