Estimating a set of coil sensitivity maps that is consistent with the low-resolution SENSE model is challenging in SENSE spectroscopic imaging. Recently, ESPIRiT, an autocalibrating approach to estimate sensitivity maps for MR imaging, that combines both advantages of SENSE and GRAPPA has been developed. In this work, we propose a spectroscopic extension of ESPIRiT, referred to as S-ESPIRiT, to estimate sensitivity maps from Cartesian 2D spectroscopic k-space data. The proposed method was demonstrated using 2D spectroscopic imaging data of a brain metabolite phantom acquired with a semi-LASER pulse sequence and a 32-channel receive head coil on a 7T MRI scanner.
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